Search (3897 results, page 1 of 195)

  • × year_i:[2000 TO 2010}
  1. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.24 
    0.24043433 = product of:
  0.3205791 = sum of:
    0.049364526 = weight(_text_:web in 2742) [ClassicSimilarity], result of:
      0.049364526 = score(doc=2742,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.3059541 = fieldWeight in 2742, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2742)
    0.068575576 = weight(_text_:search in 2742) [ClassicSimilarity], result of:
      0.068575576 = score(doc=2742,freq=6.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.39907667 = fieldWeight in 2742, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=2742)
    0.20263903 = sum of:
      0.16244885 = weight(_text_:engine in 2742) [ClassicSimilarity], result of:
        0.16244885 = score(doc=2742,freq=6.0), product of:
          0.26447627 = queryWeight, product of:
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.049439456 = queryNorm
          0.6142285 = fieldWeight in 2742, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.046875 = fieldNorm(doc=2742)
      0.04019018 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
        0.04019018 = score(doc=2742,freq=2.0), product of:
          0.17312855 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049439456 = queryNorm
          0.23214069 = fieldWeight in 2742, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=2742)
  0.75 = coord(3/4)
    Abstract
    In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate. We devise a clickthrough metric for measuring customer satisfaction of search engine results using the number of links visited, number of queries a user submits, and rank of clicked links. We use a neural network to detect the significant influence of searching characteristics on future user clickthrough. Our results show that high occurrences of query reformulation, lengthy searching duration, longer query length, and the higher ranking of prior clicked links correlate positively with future clickthrough. We provide recommendations for leveraging these findings for improving the performance of search engine retrieval and result ranking, along with implications for search engine marketing.
    Date
    22. 3.2009 17:49:11
  2. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.24 
    0.2370035 = product of:
  0.31600466 = sum of:
    0.11577009 = weight(_text_:web in 2038) [ClassicSimilarity], result of:
      0.11577009 = score(doc=2038,freq=22.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.717526 = fieldWeight in 2038, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2038)
    0.15333964 = weight(_text_:search in 2038) [ClassicSimilarity], result of:
      0.15333964 = score(doc=2038,freq=30.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.89236253 = fieldWeight in 2038, product of:
          5.477226 = tf(freq=30.0), with freq of:
            30.0 = termFreq=30.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=2038)
    0.04689494 = product of:
      0.09378988 = sum of:
        0.09378988 = weight(_text_:engine in 2038) [ClassicSimilarity], result of:
          0.09378988 = score(doc=2038,freq=2.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.35462496 = fieldWeight in 2038, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.046875 = fieldNorm(doc=2038)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Web search engines are beginning to offer access to multimedia searching, including audio, video and image searching. In this paper we report findings from a study examining the state of multimedia search functionality on major general and specialized Web search engines. We investigated 102 Web search engines to examine: (1) how many Web search engines offer multimedia searching, (2) the type of multimedia search functionality and methods offered, such as "query by example", and (3) the supports for personalization or customization which are accessible as advanced search. Findings include: (1) few major Web search engines offer multimedia searching and (2) multimedia Web search functionality is generally limited. Our findings show that despite the increasing level of interest in multimedia Web search, those few Web search engines offering multimedia Web search, provide limited multimedia search functionality. Keywords are still the only means of multimedia retrieval, while other methods such as "query by example" are offered by less than 1% of Web search engines examined.
  3. Vaughan, L.: New measurements for search engine evaluation proposed and tested (2004) 0.23 
    0.22951227 = product of:
  0.30601636 = sum of:
    0.07053544 = weight(_text_:web in 2535) [ClassicSimilarity], result of:
      0.07053544 = score(doc=2535,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.43716836 = fieldWeight in 2535, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2535)
    0.11314391 = weight(_text_:search in 2535) [ClassicSimilarity], result of:
      0.11314391 = score(doc=2535,freq=12.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.65844285 = fieldWeight in 2535, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2535)
    0.12233699 = product of:
      0.24467398 = sum of:
        0.24467398 = weight(_text_:engine in 2535) [ClassicSimilarity], result of:
          0.24467398 = score(doc=2535,freq=10.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.92512643 = fieldWeight in 2535, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2535)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    A set of measurements is proposed for evaluating Web search engine performance. Some measurements are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, an issue unique to Web information retrieval systems. An experiment was conducted to test these new measurements by applying them to a performance comparison of three commercial search engines: Google, AltaVista, and Teoma. Twenty-four subjects ranked four sets of Web pages and their rankings were used as benchmarks against which to compare search engine performance. Results show that the proposed measurements are able to distinguish search engine performance very well.
  4. Wolfram, D.: Search characteristics in different types of Web-based IR environments : are they the same? (2008) 0.23 
    0.22866614 = product of:
  0.3048882 = sum of:
    0.08144732 = weight(_text_:web in 2093) [ClassicSimilarity], result of:
      0.08144732 = score(doc=2093,freq=8.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.50479853 = fieldWeight in 2093, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2093)
    0.14606817 = weight(_text_:search in 2093) [ClassicSimilarity], result of:
      0.14606817 = score(doc=2093,freq=20.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.8500461 = fieldWeight in 2093, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2093)
    0.07737271 = product of:
      0.15474541 = sum of:
        0.15474541 = weight(_text_:engine in 2093) [ClassicSimilarity], result of:
          0.15474541 = score(doc=2093,freq=4.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.5851013 = fieldWeight in 2093, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2093)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Transaction logs from four different Web-based information retrieval environments (bibliographic databank, OPAC, search engine, specialized search system) were analyzed for empirical regularities in search characteristics to determine whether users engage in different behaviors in different Web-based search environments. Descriptive statistics and relative frequency distributions related to term usage, query formulation, and session duration were tabulated. The analysis revealed that there are differences in these characteristics. Users were more likely to engage in extensive searching using the OPAC and specialized search system. Surprisingly, the bibliographic databank search environment resulted in the most parsimonious searching, more similar to a general search engine. Although on the surface Web-based search facilities may appear similar, users do engage in different search behaviors.
  5. Ozumutlu, H.C.; Cavdur, F.: ¬Application of automatic topic identification on Excite Web search engine data logs (2005) 0.23 
    0.2266248 = product of:
  0.3021664 = sum of:
    0.07053544 = weight(_text_:web in 1047) [ClassicSimilarity], result of:
      0.07053544 = score(doc=1047,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.43716836 = fieldWeight in 1047, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1047)
    0.12220941 = weight(_text_:search in 1047) [ClassicSimilarity], result of:
      0.12220941 = score(doc=1047,freq=14.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.71119964 = fieldWeight in 1047, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1047)
    0.10942154 = product of:
      0.21884307 = sum of:
        0.21884307 = weight(_text_:engine in 1047) [ClassicSimilarity], result of:
          0.21884307 = score(doc=1047,freq=8.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.82745826 = fieldWeight in 1047, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1047)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    The analysis of contextual information in search engine query logs enhances the understanding of Web users' search patterns. Obtaining contextual information on Web search engine logs is a difficult task, since users submit few number of queries, and search multiple topics. Identification of topic changes within a search session is an important branch of search engine user behavior analysis. The purpose of this study is to investigate the properties of a specific topic identification methodology in detail, and to test its validity. The topic identification algorithm's performance becomes doubtful in various cases. These cases are explored and the reasons underlying the inconsistent performance of automatic topic identification are investigated with statistical analysis and experimental design techniques.
  6. Nicholson, S.; Sierra, T.; Eseryel, U.Y.; Park, J.-H.; Barkow, P.; Pozo, E.J.; Ward, J.: How much of it is real? : analysis of paid placement in Web search engine results (2006) 0.23 
    0.22542219 = product of:
  0.30056292 = sum of:
    0.07805218 = weight(_text_:web in 5278) [ClassicSimilarity], result of:
      0.07805218 = score(doc=5278,freq=10.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.48375595 = fieldWeight in 5278, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=5278)
    0.08853068 = weight(_text_:search in 5278) [ClassicSimilarity], result of:
      0.08853068 = score(doc=5278,freq=10.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.51520574 = fieldWeight in 5278, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=5278)
    0.13398007 = sum of:
      0.09378988 = weight(_text_:engine in 5278) [ClassicSimilarity], result of:
        0.09378988 = score(doc=5278,freq=2.0), product of:
          0.26447627 = queryWeight, product of:
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.049439456 = queryNorm
          0.35462496 = fieldWeight in 5278, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.046875 = fieldNorm(doc=5278)
      0.04019018 = weight(_text_:22 in 5278) [ClassicSimilarity], result of:
        0.04019018 = score(doc=5278,freq=2.0), product of:
          0.17312855 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049439456 = queryNorm
          0.23214069 = fieldWeight in 5278, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=5278)
  0.75 = coord(3/4)
    Abstract
    Most Web search tools integrate sponsored results with results from their internal editorial database in providing results to users. The goal of this research is to get a better idea of how much of the screen real estate displays real editorial results as compared to sponsored results. The overall average results are that 40% of all results presented on the first screen are real results, and when the entire first Web page is considered, 67% of the results are nonsponsored results. For general search tools such as Google, 56% of the first screen and 82% of the first Web page contain nonsponsored results. Other results include that query structure makes a significant difference in the percentage of nonsponsored results returned by a search. Similarly, the topic of the query also can have a significant effect on the percentage of sponsored results displayed by most Web search tools.
    Date
    22. 7.2006 16:32:57
  7. Jansen, B.J.; Spink, A.: How are we searching the World Wide Web? : A comparison of nine search engine transaction logs (2006) 0.22 
    0.22299773 = product of:
  0.2973303 = sum of:
    0.10487945 = weight(_text_:web in 968) [ClassicSimilarity], result of:
      0.10487945 = score(doc=968,freq=26.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.65002745 = fieldWeight in 968, product of:
          5.0990195 = tf(freq=26.0), with freq of:
            26.0 = termFreq=26.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=968)
    0.114292614 = weight(_text_:search in 968) [ClassicSimilarity], result of:
      0.114292614 = score(doc=968,freq=24.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.66512775 = fieldWeight in 968, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=968)
    0.07815824 = product of:
      0.15631647 = sum of:
        0.15631647 = weight(_text_:engine in 968) [ClassicSimilarity], result of:
          0.15631647 = score(doc=968,freq=8.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.59104156 = fieldWeight in 968, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0390625 = fieldNorm(doc=968)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    The Web and especially major Web search engines are essential tools in the quest to locate online information for many people. This paper reports results from research that examines characteristics and changes in Web searching from nine studies of five Web search engines based in the US and Europe. We compare interactions occurring between users and Web search engines from the perspectives of session length, query length, query complexity, and content viewed among the Web search engines. The results of our research shows (1) users are viewing fewer result pages, (2) searchers on US-based Web search engines use more query operators than searchers on European-based search engines, (3) there are statistically significant differences in the use of Boolean operators and result pages viewed, and (4) one cannot necessary apply results from studies of one particular Web search engine to another Web search engine. The wide spread use of Web search engines, employment of simple queries, and decreased viewing of result pages may have resulted from algorithmic enhancements by Web search engine companies. We discuss the implications of the findings for the development of Web search engines and design of online content.
  8. Nicholson, S.: ¬A proposal for categorization and nomenclature for Web search tools (2000) 0.22 
    0.22192761 = product of:
  0.29590347 = sum of:
    0.10406956 = weight(_text_:web in 6103) [ClassicSimilarity], result of:
      0.10406956 = score(doc=6103,freq=10.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.6450079 = fieldWeight in 6103, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=6103)
    0.12930733 = weight(_text_:search in 6103) [ClassicSimilarity], result of:
      0.12930733 = score(doc=6103,freq=12.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.75250614 = fieldWeight in 6103, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0625 = fieldNorm(doc=6103)
    0.06252659 = product of:
      0.12505318 = sum of:
        0.12505318 = weight(_text_:engine in 6103) [ClassicSimilarity], result of:
          0.12505318 = score(doc=6103,freq=2.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.47283328 = fieldWeight in 6103, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0625 = fieldNorm(doc=6103)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Ambiguities in Web search tool (more commonly known as "search engine") terminology are problematic when conducting precise, replicable research or when teaching others to use search tools. Standardized terminology would enable Web searchers to be aware of subtle differences between Web search tools and the implications of these for searching. A categorization and nomenclature for standardized classifications of different aspects of Web search tools is proposed, and advantages and disadvantages of using tools in each category are discussed
  9. Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : Il. An evaluation by undergraduates (2003) 0.22 
    0.21712182 = product of:
  0.28949577 = sum of:
    0.041137107 = weight(_text_:web in 2117) [ClassicSimilarity], result of:
      0.041137107 = score(doc=2117,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.25496176 = fieldWeight in 2117, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2117)
    0.10433441 = weight(_text_:search in 2117) [ClassicSimilarity], result of:
      0.10433441 = score(doc=2117,freq=20.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.60717577 = fieldWeight in 2117, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2117)
    0.14402425 = sum of:
      0.11053244 = weight(_text_:engine in 2117) [ClassicSimilarity], result of:
        0.11053244 = score(doc=2117,freq=4.0), product of:
          0.26447627 = queryWeight, product of:
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.049439456 = queryNorm
          0.41792953 = fieldWeight in 2117, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2117)
      0.03349182 = weight(_text_:22 in 2117) [ClassicSimilarity], result of:
        0.03349182 = score(doc=2117,freq=2.0), product of:
          0.17312855 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049439456 = queryNorm
          0.19345059 = fieldWeight in 2117, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2117)
  0.75 = coord(3/4)
    Abstract
    This paper presents an application of the model described in Part I to the evaluation of Web search engines by undergraduates. The study observed how 36 undergraduate used four major search engines to find information for their own individual problems and how they evaluated these engines based an actual interaction with the search engines. User evaluation was based an 16 performance measures representing five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Non-performance (user-related) measures were also applied. Each participant searched his/ her own topic an all four engines and provided satisfaction ratings for system features and interaction and reasons for satisfaction. Each also made relevance judgements of retrieved items in relation to his/her own information need and participated in post-search Interviews to provide reactions to the search results and overall performance. The study found significant differences in precision PR1 relative recall, user satisfaction with output display, time saving, value of search results, and overall performance among the four engines and also significant engine by discipline interactions an all these measures. In addition, the study found significant differences in user satisfaction with response time among four engines, and significant engine by discipline interaction in user satisfaction with search interface. None of the four search engines dominated in every aspect of the multidimensional evaluation. Content analysis of verbal data identified a number of user criteria and users evaluative comments based an these criteria. Results from both quantitative analysis and content analysis provide insight for system design and development, and useful feedback an strengths and weaknesses of search engines for system improvement
    Date
    24. 1.2004 18:27:22
  10. Notess, G.R.: Custom search engines : tools and tips (2008) 0.22 
    0.21691717 = product of:
  0.2892229 = sum of:
    0.05759195 = weight(_text_:web in 2145) [ClassicSimilarity], result of:
      0.05759195 = score(doc=2145,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.35694647 = fieldWeight in 2145, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2145)
    0.12220941 = weight(_text_:search in 2145) [ClassicSimilarity], result of:
      0.12220941 = score(doc=2145,freq=14.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.71119964 = fieldWeight in 2145, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2145)
    0.10942154 = product of:
      0.21884307 = sum of:
        0.21884307 = weight(_text_:engine in 2145) [ClassicSimilarity], result of:
          0.21884307 = score(doc=2145,freq=8.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.82745826 = fieldWeight in 2145, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2145)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    The basic steps to build one are fairly simple: * Sign up * Pick a search engine name * Choose a list of sites * Add the sites * Publish That quickly, a search engine can be created to search a specific portion of the web, such as local government sites, childcare resources, or historical archives. It is easy to create a simple customized vertical search engine as well as support much more advanced capabilities (see the Google AJAX search API article). Try these tools and tips and build a customized search engine or two for your own users to help them find more targeted and relevant web information.
  11. Jansen, B.J.; Zhang, M.; Schultz, C.D.: Brand and its effect on user perception of search engine performance (2009) 0.22 
    0.21612471 = product of:
  0.28816628 = sum of:
    0.041137107 = weight(_text_:web in 2948) [ClassicSimilarity], result of:
      0.041137107 = score(doc=2948,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.25496176 = fieldWeight in 2948, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2948)
    0.12345014 = weight(_text_:search in 2948) [ClassicSimilarity], result of:
      0.12345014 = score(doc=2948,freq=28.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.7184201 = fieldWeight in 2948, product of:
          5.2915025 = tf(freq=28.0), with freq of:
            28.0 = termFreq=28.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2948)
    0.123579025 = product of:
      0.24715805 = sum of:
        0.24715805 = weight(_text_:engine in 2948) [ClassicSimilarity], result of:
          0.24715805 = score(doc=2948,freq=20.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.9345188 = fieldWeight in 2948, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2948)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    In this research we investigate the effect of search engine brand on the evaluation of searching performance. Our research is motivated by the large amount of search traffic directed to a handful of Web search engines, even though many have similar interfaces and performance. We conducted a laboratory experiment with 32 participants using a 42 factorial design confounded in four blocks to measure the effect of four search engine brands (Google, MSN, Yahoo!, and a locally developed search engine) while controlling for the quality and presentation of search engine results. We found brand indeed played a role in the searching process. Brand effect varied in different domains. Users seemed to place a high degree of trust in major search engine brands; however, they were more engaged in the searching process when using lesser-known search engines. It appears that branding affects overall Web search at four stages: (a) search engine selection, (b) search engine results page evaluation, (c) individual link evaluation, and (d) evaluation of the landing page. We discuss the implications for search engine marketing and the design of empirical studies measuring search engine performance.
  12. Lu, G.; Williams, B.; You, C.: ¬An effective World Wide Web image search engine (2001) 0.21 
    0.21243787 = product of:
  0.28325048 = sum of:
    0.08144732 = weight(_text_:web in 5655) [ClassicSimilarity], result of:
      0.08144732 = score(doc=5655,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.50479853 = fieldWeight in 5655, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.109375 = fieldNorm(doc=5655)
    0.09238163 = weight(_text_:search in 5655) [ClassicSimilarity], result of:
      0.09238163 = score(doc=5655,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.5376164 = fieldWeight in 5655, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.109375 = fieldNorm(doc=5655)
    0.10942154 = product of:
      0.21884307 = sum of:
        0.21884307 = weight(_text_:engine in 5655) [ClassicSimilarity], result of:
          0.21884307 = score(doc=5655,freq=2.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.82745826 = fieldWeight in 5655, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.109375 = fieldNorm(doc=5655)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
  13. Chau, M.; Lu, Y.; Fang, X.; Yang, C.C.: Characteristics of character usage in Chinese Web searching (2009) 0.21 
    0.20692721 = product of:
  0.27590296 = sum of:
    0.07696048 = weight(_text_:web in 2456) [ClassicSimilarity], result of:
      0.07696048 = score(doc=2456,freq=14.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.47698978 = fieldWeight in 2456, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2456)
    0.08729243 = weight(_text_:search in 2456) [ClassicSimilarity], result of:
      0.08729243 = score(doc=2456,freq=14.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.5079997 = fieldWeight in 2456, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2456)
    0.11165006 = sum of:
      0.07815824 = weight(_text_:engine in 2456) [ClassicSimilarity], result of:
        0.07815824 = score(doc=2456,freq=2.0), product of:
          0.26447627 = queryWeight, product of:
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.049439456 = queryNorm
          0.29552078 = fieldWeight in 2456, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2456)
      0.03349182 = weight(_text_:22 in 2456) [ClassicSimilarity], result of:
        0.03349182 = score(doc=2456,freq=2.0), product of:
          0.17312855 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049439456 = queryNorm
          0.19345059 = fieldWeight in 2456, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2456)
  0.75 = coord(3/4)
    Abstract
    The use of non-English Web search engines has been prevalent. Given the popularity of Chinese Web searching and the unique characteristics of Chinese language, it is imperative to conduct studies with focuses on the analysis of Chinese Web search queries. In this paper, we report our research on the character usage of Chinese search logs from a Web search engine in Hong Kong. By examining the distribution of search query terms, we found that users tended to use more diversified terms and that the usage of characters in search queries was quite different from the character usage of general online information in Chinese. After studying the Zipf distribution of n-grams with different values of n, we found that the curve of unigram is the most curved one of all while the bigram curve follows the Zipf distribution best, and that the curves of n-grams with larger n (n = 3-6) had similar structures with ?-values in the range of 0.66-0.86. The distribution of combined n-grams was also studied. All the analyses are performed on the data both before and after the removal of function terms and incomplete terms and similar findings are revealed. We believe the findings from this study have provided some insights into further research in non-English Web searching and will assist in the design of more effective Chinese Web search engines.
    Date
    22.11.2008 17:57:22
  14. Thelwall, M.: Web impact factors and search engine coverage (2000) 0.21 
    0.20596267 = product of:
  0.2746169 = sum of:
    0.08061194 = weight(_text_:web in 4539) [ClassicSimilarity], result of:
      0.08061194 = score(doc=4539,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.49962097 = fieldWeight in 4539, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=4539)
    0.105578996 = weight(_text_:search in 4539) [ClassicSimilarity], result of:
      0.105578996 = score(doc=4539,freq=8.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.6144187 = fieldWeight in 4539, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0625 = fieldNorm(doc=4539)
    0.08842595 = product of:
      0.1768519 = sum of:
        0.1768519 = weight(_text_:engine in 4539) [ClassicSimilarity], result of:
          0.1768519 = score(doc=4539,freq=4.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.6686872 = fieldWeight in 4539, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0625 = fieldNorm(doc=4539)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Search engines index only a proportion of the web and this proportion is not determined randomly but by following algorithms that take into account the properties that impact factors measure. A survey was conducted in order to test the coverage of search engines and to decide thether their partial coverage is indeed an obstacle to using them to calculate web impact factors. The results indicate that search engine coverage, even of large national domains is extremely uneven and would be likely to lead to misleading calculations
  15. Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006) 0.21 
    0.20532817 = product of:
  0.2737709 = sum of:
    0.07696048 = weight(_text_:web in 216) [ClassicSimilarity], result of:
      0.07696048 = score(doc=216,freq=14.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.47698978 = fieldWeight in 216, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=216)
    0.10942685 = weight(_text_:search in 216) [ClassicSimilarity], result of:
      0.10942685 = score(doc=216,freq=22.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.6368113 = fieldWeight in 216, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=216)
    0.08738356 = product of:
      0.17476712 = sum of:
        0.17476712 = weight(_text_:engine in 216) [ClassicSimilarity], result of:
          0.17476712 = score(doc=216,freq=10.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.66080457 = fieldWeight in 216, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0390625 = fieldNorm(doc=216)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    The application of clustering to Web search engine technology is a novel approach that offers structure to the information deluge often faced by Web searchers. Clustering methods have been well studied in research labs; however, real user searching with clustering systems in operational Web environments is not well understood. This article reports on results from a transaction log analysis of Vivisimo.com, which is a Web meta-search engine that dynamically clusters users' search results. A transaction log analysis was conducted on 2-week's worth of data collected from March 28 to April 4 and April 25 to May 2, 2004, representing 100% of site traffic during these periods and 2,029,734 queries overall. The results show that the highest percentage of queries contained two terms. The highest percentage of search sessions contained one query and was less than 1 minute in duration. Almost half of user interactions with clusters consisted of displaying a cluster's result set, and a small percentage of interactions showed cluster tree expansion. Findings show that 11.1% of search sessions were multitasking searches, and there are a broad variety of search topics in multitasking search sessions. Other searching interactions and statistics on repeat users of the search engine are reported. These results provide insights into search characteristics with a cluster-based Web search engine and extend research into Web searching trends.
  16. Drabenstott, K.M.: Web search strategies (2000) 0.20 
    0.20245814 = product of:
  0.2699442 = sum of:
    0.093082644 = weight(_text_:web in 1188) [ClassicSimilarity], result of:
      0.093082644 = score(doc=1188,freq=32.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.5769126 = fieldWeight in 1188, product of:
          5.656854 = tf(freq=32.0), with freq of:
            32.0 = termFreq=32.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=1188)
    0.087541476 = weight(_text_:search in 1188) [ClassicSimilarity], result of:
      0.087541476 = score(doc=1188,freq=22.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.50944906 = fieldWeight in 1188, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.03125 = fieldNorm(doc=1188)
    0.08932005 = sum of:
      0.06252659 = weight(_text_:engine in 1188) [ClassicSimilarity], result of:
        0.06252659 = score(doc=1188,freq=2.0), product of:
          0.26447627 = queryWeight, product of:
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.049439456 = queryNorm
          0.23641664 = fieldWeight in 1188, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.03125 = fieldNorm(doc=1188)
      0.026793454 = weight(_text_:22 in 1188) [ClassicSimilarity], result of:
        0.026793454 = score(doc=1188,freq=2.0), product of:
          0.17312855 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049439456 = queryNorm
          0.15476047 = fieldWeight in 1188, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=1188)
  0.75 = coord(3/4)
    Abstract
    Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
    Content
    "Web searching is different from searching commercial IR systems. We can learn from search strategies recommended for searching IR systems, but most won't be effective for Web searching. Web searchers need strate gies that let search engines do the job they were designed to do. This article presents six new Web searching strategies that do just that."
    Date
    22. 9.1997 19:16:05
  17. Bilal, D.: Children's use of the Yahooligans! Web search engine : III. Cognitive and physical behaviors on fully self-generated search tasks (2002) 0.20 
    0.19939992 = product of:
  0.26586655 = sum of:
    0.03490599 = weight(_text_:web in 5228) [ClassicSimilarity], result of:
      0.03490599 = score(doc=5228,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.21634221 = fieldWeight in 5228, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=5228)
    0.0969805 = weight(_text_:search in 5228) [ClassicSimilarity], result of:
      0.0969805 = score(doc=5228,freq=12.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.5643796 = fieldWeight in 5228, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=5228)
    0.13398007 = sum of:
      0.09378988 = weight(_text_:engine in 5228) [ClassicSimilarity], result of:
        0.09378988 = score(doc=5228,freq=2.0), product of:
          0.26447627 = queryWeight, product of:
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.049439456 = queryNorm
          0.35462496 = fieldWeight in 5228, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.349498 = idf(docFreq=570, maxDocs=44218)
            0.046875 = fieldNorm(doc=5228)
      0.04019018 = weight(_text_:22 in 5228) [ClassicSimilarity], result of:
        0.04019018 = score(doc=5228,freq=2.0), product of:
          0.17312855 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.049439456 = queryNorm
          0.23214069 = fieldWeight in 5228, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=5228)
  0.75 = coord(3/4)
    Abstract
    Bilal, in this third part of her Yahooligans! study looks at children's performance with self-generated search tasks, as compared to previously assigned search tasks looking for differences in success, cognitive behavior, physical behavior, and task preference. Lotus ScreenCam was used to record interactions and post search interviews to record impressions. The subjects, the same 22 seventh grade children in the previous studies, generated topics of interest that were mediated with the researcher into more specific topics where necessary. Fifteen usable sessions form the basis of the study. Eleven children were successful in finding information, a rate of 73% compared to 69% in assigned research questions, and 50% in assigned fact-finding questions. Eighty-seven percent began using one or two keyword searches. Spelling was a problem. Successful children made fewer keyword searches and the number of search moves averaged 5.5 as compared to 2.4 on the research oriented task and 3.49 on the factual. Backtracking and looping were common. The self-generated task was preferred by 47% of the subjects.
  18. Jansen, B.J.; Pooch , U.: ¬A review of Web searching studies and a framework for future research (2001) 0.20 
    0.199209 = product of:
  0.265612 = sum of:
    0.05759195 = weight(_text_:web in 5186) [ClassicSimilarity], result of:
      0.05759195 = score(doc=5186,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.35694647 = fieldWeight in 5186, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5186)
    0.13064735 = weight(_text_:search in 5186) [ClassicSimilarity], result of:
      0.13064735 = score(doc=5186,freq=16.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.76030433 = fieldWeight in 5186, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5186)
    0.07737271 = product of:
      0.15474541 = sum of:
        0.15474541 = weight(_text_:engine in 5186) [ClassicSimilarity], result of:
          0.15474541 = score(doc=5186,freq=4.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.5851013 = fieldWeight in 5186, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5186)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Jansen and Pooch review three major search engine studies and compare them to three traditional search system studies and three OPAC search studies, to determine if user search characteristics differ. The web search engine studies indicate that most searchers use two, two search term queries per session, no boolean operators, and look only at the top ten items returned, while reporting the location of relevant information. In traditional search systems we find seven to 16 queries of six to nine terms, while about ten documents per session were viewed. The OPAC studies indicated two to five queries per session of two or less terms, with Boolean search about 1% and less than 50 documents viewed.
  19. Chau, M.; Fang, X.; Sheng, O.R.U.: Analysis of the query logs of a Web site search engine (2005) 0.20 
    0.19615814 = product of:
  0.2615442 = sum of:
    0.09198537 = weight(_text_:web in 4573) [ClassicSimilarity], result of:
      0.09198537 = score(doc=4573,freq=20.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.5701118 = fieldWeight in 4573, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4573)
    0.114292614 = weight(_text_:search in 4573) [ClassicSimilarity], result of:
      0.114292614 = score(doc=4573,freq=24.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.66512775 = fieldWeight in 4573, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4573)
    0.05526622 = product of:
      0.11053244 = sum of:
        0.11053244 = weight(_text_:engine in 4573) [ClassicSimilarity], result of:
          0.11053244 = score(doc=4573,freq=4.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.41792953 = fieldWeight in 4573, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4573)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    A large number of studies have investigated the transaction log of general-purpose search engines such as Excite and AItaVista, but few studies have reported an the analysis of search logs for search engines that are limited to particular Web sites, namely, Web site search engines. In this article, we report our research an analyzing the search logs of the search engine of the Utah state government Web site. Our results show that some statistics, such as the number of search terms per query, of Web users are the same for general-purpose search engines and Web site search engines, but others, such as the search topics and the terms used, are considerably different. Possible reasons for the differences include the focused domain of Web site search engines and users' different information needs. The findings are useful for Web site developers to improve the performance of their services provided an the Web and for researchers to conduct further research in this area. The analysis also can be applied in e-government research by investigating how information should be delivered to users in government Web sites.
  20. Ozmutlu, H.C.; Cavdur, F.; Ozmutlu, S.: Cross-validation of neural network applications for automatic new topic identification (2008) 0.19 
    0.19481076 = product of:
  0.25974768 = sum of:
    0.06504348 = weight(_text_:web in 1364) [ClassicSimilarity], result of:
      0.06504348 = score(doc=1364,freq=10.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.40312994 = fieldWeight in 1364, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1364)
    0.09898031 = weight(_text_:search in 1364) [ClassicSimilarity], result of:
      0.09898031 = score(doc=1364,freq=18.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.5760175 = fieldWeight in 1364, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1364)
    0.095723905 = product of:
      0.19144781 = sum of:
        0.19144781 = weight(_text_:engine in 1364) [ClassicSimilarity], result of:
          0.19144781 = score(doc=1364,freq=12.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.72387516 = fieldWeight in 1364, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1364)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    The purpose of this study is to provide results from experiments designed to investigate the cross-validation of an artificial neural network application to automatically identify topic changes in Web search engine user sessions by using data logs of different Web search engines for training and testing the neural network. Sample data logs from the FAST and Excite search engines are used in this study. The results of the study show that identification of topic shifts and continuations on a particular Web search engine user session can be achieved with neural networks that are trained on a different Web search engine data log. Although FAST and Excite search engine users differ with respect to some user characteristics (e.g., number of queries per session, number of topics per session), the results of this study demonstrate that both search engine users display similar characteristics as they shift from one topic to another during a single search session. The key finding of this study is that a neural network that is trained on a selected data log could be universal; that is, it can be applicable on all Web search engine transaction logs regardless of the source of the training data log.

Authors

Languages

Types

  • a 3194
  • m 409
  • el 320
  • s 143
  • x 58
  • b 30
  • i 24
  • r 16
  • n 14
  • p 2
  • More… Less…

Themes

Subjects

Classifications