Search (68 results, page 4 of 4)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2010 TO 2020}
  1. Wildemuth, B.M.; Kelly, D,; Boettcher, E.; Moore, E.; Dimitrova, G.: Examining the impact of domain and cognitive complexity on query formulation and reformulation (2018) 0.00
    0.0014338273 = product of:
      0.008602964 = sum of:
        0.008602964 = weight(_text_:information in 5085) [ClassicSimilarity], result of:
          0.008602964 = score(doc=5085,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.116372846 = fieldWeight in 5085, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=5085)
      0.16666667 = coord(1/6)
    
    Source
    Information processing and management. 54(2018) no.3, S.433-450
  2. Kajanan, S.; Bao, Y.; Datta, A.; VanderMeer, D.; Dutta, K.: Efficient automatic search query formulation using phrase-level analysis (2014) 0.00
    0.0013518253 = product of:
      0.008110952 = sum of:
        0.008110952 = weight(_text_:information in 1264) [ClassicSimilarity], result of:
          0.008110952 = score(doc=1264,freq=4.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.10971737 = fieldWeight in 1264, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=1264)
      0.16666667 = coord(1/6)
    
    Abstract
    Over the past decade, the volume of information available digitally over the Internet has grown enormously. Technical developments in the area of search, such as Google's Page Rank algorithm, have proved so good at serving relevant results that Internet search has become integrated into daily human activity. One can endlessly explore topics of interest simply by querying and reading through the resulting links. Yet, although search engines are well known for providing relevant results based on users' queries, users do not always receive the results they are looking for. Google's Director of Research describes clickstream evidence of frustrated users repeatedly reformulating queries and searching through page after page of results. Given the general quality of search engine results, one must consider the possibility that the frustrated user's query is not effective; that is, it does not describe the essence of the user's interest. Indeed, extensive research into human search behavior has found that humans are not very effective at formulating good search queries that describe what they are interested in. Ideally, the user should simply point to a portion of text that sparked the user's interest, and a system should automatically formulate a search query that captures the essence of the text. In this paper, we describe an implemented system that provides this capability. We first describe how our work differs from existing work in automatic query formulation, and propose a new method for improved quantification of the relevance of candidate search terms drawn from input text using phrase-level analysis. We then propose an implementable method designed to provide relevant queries based on a user's text input. We demonstrate the quality of our results and performance of our system through experimental studies. Our results demonstrate that our system produces relevant search terms with roughly two-thirds precision and recall compared to search terms selected by experts, and that typical users find significantly more relevant results (31% more relevant) more quickly (64% faster) using our system than self-formulated search queries. Further, we show that our implementation can scale to request loads of up to 10 requests per second within current online responsiveness expectations (<2-second response times at the highest loads tested).
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1058-1075
  3. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00
    0.001194856 = product of:
      0.007169136 = sum of:
        0.007169136 = weight(_text_:information in 3623) [ClassicSimilarity], result of:
          0.007169136 = score(doc=3623,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.09697737 = fieldWeight in 3623, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3623)
      0.16666667 = coord(1/6)
    
    Abstract
    Purpose - This paper aims to report findings from an exploratory study investigating the web interactions and technoliteracy of children in the early childhood years. Previous research has studied aspects of older children's technoliteracy and web searching; however, few studies have analyzed web search data from children younger than six years of age. Design/methodology/approach - The study explored the Google web searching and technoliteracy of young children who are enrolled in a "preparatory classroom" or kindergarten (the year before young children begin compulsory schooling in Queensland, Australia). Young children were video- and audio-taped while conducting Google web searches in the classroom. The data were qualitatively analysed to understand the young children's web search behaviour. Findings - The findings show that young children engage in complex web searches, including keyword searching and browsing, query formulation and reformulation, relevance judgments, successive searches, information multitasking and collaborative behaviours. The study results provide significant initial insights into young children's web searching and technoliteracy. Practical implications - The use of web search engines by young children is an important research area with implications for educators and web technologies developers. Originality/value - This is the first study of young children's interaction with a web search engine.
  4. Bergman, O.; Whittaker, S.; Sanderson, M.; Nachmias, R.; Ramamoorthy, A.: ¬The effect of folder structure on personal file navigation (2010) 0.00
    0.001194856 = product of:
      0.007169136 = sum of:
        0.007169136 = weight(_text_:information in 4114) [ClassicSimilarity], result of:
          0.007169136 = score(doc=4114,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.09697737 = fieldWeight in 4114, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4114)
      0.16666667 = coord(1/6)
    
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2426-2441
  5. Barsky, E.; Bar-Ilan, J.: ¬The impact of task phrasing on the choice of search keywords and on the search process and success (2012) 0.00
    0.001194856 = product of:
      0.007169136 = sum of:
        0.007169136 = weight(_text_:information in 455) [ClassicSimilarity], result of:
          0.007169136 = score(doc=455,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.09697737 = fieldWeight in 455, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=455)
      0.16666667 = coord(1/6)
    
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.1987-2005
  6. Verberne, S.; Heijden, M. van der; Hinne, M.; Sappelli, M.; Koldijk, S.; Hoenkamp, E.; Kraaij, W.: Reliability and validity of query intent assessments (2013) 0.00
    0.001194856 = product of:
      0.007169136 = sum of:
        0.007169136 = weight(_text_:information in 1104) [ClassicSimilarity], result of:
          0.007169136 = score(doc=1104,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.09697737 = fieldWeight in 1104, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1104)
      0.16666667 = coord(1/6)
    
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2224-2237
  7. Lykke, M.; Price, S.; Delcambre, L.: How doctors search : a study of query behaviour and the impact on search results (2012) 0.00
    0.001194856 = product of:
      0.007169136 = sum of:
        0.007169136 = weight(_text_:information in 2727) [ClassicSimilarity], result of:
          0.007169136 = score(doc=2727,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.09697737 = fieldWeight in 2727, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2727)
      0.16666667 = coord(1/6)
    
    Source
    Information processing and management. 48(2012) no.6, S.1151-1170
  8. Liu, J.; Zhang, X.: ¬The role of domain knowledge in document selection from search results (2019) 0.00
    0.001194856 = product of:
      0.007169136 = sum of:
        0.007169136 = weight(_text_:information in 5410) [ClassicSimilarity], result of:
          0.007169136 = score(doc=5410,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.09697737 = fieldWeight in 5410, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5410)
      0.16666667 = coord(1/6)
    
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1236-1247

Languages

  • e 66
  • d 2
  • More… Less…

Types

  • a 65
  • m 3
  • s 1
  • More… Less…