Search (38 results, page 1 of 2)

  • × author_ss:"Spink, A."
  1. Jansen, B.J.; Spink, A.: How are we searching the World Wide Web? : A comparison of nine search engine transaction logs (2006) 0.05
    0.054115146 = product of:
      0.16234544 = sum of:
        0.06812209 = weight(_text_:wide in 968) [ClassicSimilarity], result of:
          0.06812209 = score(doc=968,freq=4.0), product of:
            0.19679762 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.044416238 = queryNorm
            0.34615302 = fieldWeight in 968, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.0390625 = fieldNorm(doc=968)
        0.09422334 = weight(_text_:web in 968) [ClassicSimilarity], result of:
          0.09422334 = score(doc=968,freq=26.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = 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)
      0.33333334 = coord(2/6)
    
    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.
  2. Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006) 0.04
    0.03891994 = product of:
      0.116759814 = sum of:
        0.03853567 = weight(_text_:wide in 993) [ClassicSimilarity], result of:
          0.03853567 = score(doc=993,freq=2.0), product of:
            0.19679762 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.044416238 = queryNorm
            0.1958137 = fieldWeight in 993, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.03125 = fieldNorm(doc=993)
        0.078224145 = weight(_text_:web in 993) [ClassicSimilarity], result of:
          0.078224145 = score(doc=993,freq=28.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.5396523 = fieldWeight in 993, product of:
              5.2915025 = tf(freq=28.0), with freq of:
                28.0 = termFreq=28.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=993)
      0.33333334 = coord(2/6)
    
    Abstract
    The performance and capabilities of Web search engines is an important and significant area of research. Millions of people world wide use Web search engines very day. This paper reports the results of a major study examining the overlap among results retrieved by multiple Web search engines for a large set of more than 10,000 queries. Previous smaller studies have discussed a lack of overlap in results returned by Web search engines for the same queries. The goal of the current study was to conduct a large-scale study to measure the overlap of search results on the first result page (both non-sponsored and sponsored) across the four most popular Web search engines, at specific points in time using a large number of queries. The Web search engines included in the study were MSN Search, Google, Yahoo! and Ask Jeeves. Our study then compares these results with the first page results retrieved for the same queries by the metasearch engine Dogpile.com. Two sets of randomly selected user-entered queries, one set was 10,316 queries and the other 12,570 queries, from Infospace's Dogpile.com search engine (the first set was from Dogpile, the second was from across the Infospace Network of search properties were submitted to the four single Web search engines). Findings show that the percent of total results unique to only one of the four Web search engines was 84.9%, shared by two of the three Web search engines was 11.4%, shared by three of the Web search engines was 2.6%, and shared by all four Web search engines was 1.1%. This small degree of overlap shows the significant difference in the way major Web search engines retrieve and rank results in response to given queries. Results point to the value of metasearch engines in Web retrieval to overcome the biases of individual search engines.
  3. Goodrum, A.; Spink, A.: Visual information seeking : a study of image queries on the world wide web (1999) 0.03
    0.028427847 = product of:
      0.08528354 = sum of:
        0.03853567 = weight(_text_:wide in 6678) [ClassicSimilarity], result of:
          0.03853567 = score(doc=6678,freq=2.0), product of:
            0.19679762 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.044416238 = queryNorm
            0.1958137 = fieldWeight in 6678, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.03125 = fieldNorm(doc=6678)
        0.04674787 = weight(_text_:web in 6678) [ClassicSimilarity], result of:
          0.04674787 = score(doc=6678,freq=10.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.32250395 = fieldWeight in 6678, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=6678)
      0.33333334 = coord(2/6)
    
    Abstract
    A growing body of research is beginning to explore the information-seeking behavior of Web users. The vast majority of these studies have concentrated on the area of textual information retrieval (IR). Little research has examined how people search for non-textual information on the Internet, and few large-scale studies have investigated visual information-seeking behavior with Web search engines. This study examined visual information needs as expressed in users' Web image queries. The data set examined consisted of 1,025,908 sequential queries from 211,058 users of EXCITE, a major Internet search service. Twenty-eight (28) terms were used to identify queries for both still and moving images, resulting in a subset of 33,149 image queries by 9,855 users. We provide data on: (1) image queries -- the number of queries and the number of search terms per user, (2) image search sessions -- the number of queries per user, modifications made to subsequent queries in a session, and (3) image terms -- their rank/frequency distribution and the most highly used search terms. On average, there were 3. 36 image queries per user containing an average of 3.74 terms per query. Image queries contained a large number of unique terms. The most frequently occurring image related terms appeared less than 10 percent of the time, with most terms occurring only once. This analysis is contrasted to earlier work by Enser (1995) who examined written queries for pictorial information in a non-digital environment. Implications for the development of models for visual information retrieval, and for the design of Web search engines are discussed
  4. Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004) 0.03
    0.02579916 = product of:
      0.07739748 = sum of:
        0.034061044 = weight(_text_:wide in 1443) [ClassicSimilarity], result of:
          0.034061044 = score(doc=1443,freq=4.0), product of:
            0.19679762 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.044416238 = queryNorm
            0.17307651 = fieldWeight in 1443, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1443)
        0.04333644 = weight(_text_:web in 1443) [ClassicSimilarity], result of:
          0.04333644 = score(doc=1443,freq=22.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.29896918 = fieldWeight in 1443, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1443)
      0.33333334 = coord(2/6)
    
    Footnote
    Den Autoren wurden von den kommerziellen Suchmaschinen AltaVista, Excite und All the Web größere Datenbestände zur Verfügung gestellt. Die ausgewerteten Files umfassten jeweils alle an die jeweilige Suchmaschine an einem bestimmten Tag gestellten Anfragen. Die Daten wurden zwischen 199'] und 2002 erhoben; allerdings liegen nicht von allen Jahren Daten von allen Suchmaschinen vor, so dass einige der festgestellten Unterschiede im Nutzerverhalten sich wohl auf die unterschiedlichen Nutzergruppen der einzelnen Suchmaschinen zurückführen lassen. In einem Fall werden die Nutzergruppen sogar explizit nach den Suchmaschinen getrennt, so dass das Nutzerverhalten der europäischen Nutzer der Suchmaschine All the Web mit dem Verhalten der US-amerikanischen Nutzer verglichen wird. Die Analyse der Logfiles erfolgt auf unterschiedlichen Ebenen: Es werden sowohl die eingegebenen Suchbegriffe, die kompletten Suchanfragen, die Such-Sessions und die Anzahl der angesehenen Ergebnisseiten ermittelt. Bei den Suchbegriffen ist besonders interessant, dass die Spannbreite der Informationsbedürfnisse im Lauf der Jahre deutlich zugenommen hat. Zwar werden 20 Prozent aller eingegebenen Suchbegriffe regelmäßig verwendet, zehn Prozent kamen hingegen nur ein einziges Mal vor. Die thematischen Interessen der Suchmaschinen-Nutzer haben sich im Lauf der letzten Jahre ebenfalls gewandelt. Während in den Anfangsjahren viele Anfragen aus den beiden Themenfeldern Sex und Technologie stammten, gehen diese mittlerweile zurück. Dafür nehmen Anfragen im Bereich E-Commerce zu. Weiterhin zugenommen haben nicht-englischsprachige Begriffe sowie Zahlen und Akronyme. Die Popularität von Suchbegriffen ist auch saisonabhängig und wird durch aktuelle Nachrichten beeinflusst. Auf der Ebene der Suchanfragen zeigt sich weiterhin die vielfach belegte Tatsache, dass Suchanfragen in Web-Suchmaschinen extrem kurz sind. Die durchschnittliche Suchanfrage enthält je nach Suchmaschine zwischen 2,3 und 2,9 Terme. Dies deckt sich mit anderen Untersuchungen zu diesem Thema. Die Länge der Suchanfragen ist in den letzten Jahren leicht steigend; größere Sprünge hin zu längeren Anfragen sind jedoch nicht zu erwarten. Ebenso verhält es sich mit dem Einsatz von Operatoren: Nur etwa in jeder zehnten Anfrage kommen diese vor, wobei die Phrasensuche am häufigsten verwendet wird. Dass die SuchmaschinenNutzer noch weitgehend als Anfänger angesehen werden müssen, zeigt sich auch daran, dass sie pro Suchanfrage nur drei oder vier Dokumente aus der Trefferliste tatsächlich sichten.
    Der relativ hohe Wert von 17 Prozent stammt allerdings aus dem Jahr 1997; seitdem ist eine deutliche Abnahme zu verzeichnen. Betont werden muss außerdem, dass Anfragen nach sexuellen Inhalten nicht mit denen nach Pornographie gleichzusetzen sind. Die Suche nach Multimedia-Inhalten hat sich von den allgemeinen Suchinterfaces der Suchmaschinen hin zu speziellen Suchmasken verschoben, die inzwischen von allen großen Suchmaschinen angeboten werden. Die wichtigste Aussage aus den untersuchten Daten lautet, dass die Suche nach Multimedia-Inhalten komplexer und vor allem interaktiver ist als die übliche Websuche. Die Anfragen sind länger und enthalten zu einem deutlich größeren Teil Operatoren. Bei der Bildersuche stellen weiterhin sexuell orientierte Anfragen den höchsten Anteil. Bei der Bilderund Video-Suche sind die Anfragen deutlich länger als bei der regulären Suche; bei der Audio-Suche sind sie dagegen kürzer. Das vorliegende Werk bietet die bisher umfassendste Analyse des Nutzerverhaltens bezüglich der Web-Suche; insbesondere wurden bisher keine umfassenden, auf längere Zeiträume angelegten Studien vorgelegt, deren Ergebnisse wie im vorliegenden Fall direkt vergleichbar sind. Die Ergebnisse sind valide und ermöglichen es Suchmaschinen-Anbietern wie auch Forschern, künftige Entwicklungen stärker als bisher am tatsächlichen Verhalten der Nutzer auszurichten. Das Buch beschränkt sich allerdings auf die US-amerikanischen Suchmaschinen und deren Nutzer und bezieht nur bei All the Web die europäischen Nutzer ein. Insbesondere die Frage, ob die europäischen oder auch deutschsprachigen Nutzer anders suchen als die amerikanischen, bleibt unbeantwortet. Hier wären weitere Forschungen zu leisten."
    LCSH
    Web usage mining
    RSWK
    World Wide Web / Suchmaschine
    Subject
    World Wide Web / Suchmaschine
    Web usage mining
  5. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.02
    0.020800762 = product of:
      0.062402282 = sum of:
        0.04434892 = weight(_text_:web in 2742) [ClassicSimilarity], result of:
          0.04434892 = score(doc=2742,freq=4.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = 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)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
              0.03610672 = score(doc=2742,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = 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)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    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
  6. Spink, A.; Cole, C.: New directions in cognitive information retrieval : introduction (2005) 0.02
    0.018593954 = product of:
      0.05578186 = sum of:
        0.029565949 = weight(_text_:web in 647) [ClassicSimilarity], result of:
          0.029565949 = score(doc=647,freq=4.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.2039694 = fieldWeight in 647, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=647)
        0.02621591 = weight(_text_:computer in 647) [ClassicSimilarity], result of:
          0.02621591 = score(doc=647,freq=2.0), product of:
            0.16231956 = queryWeight, product of:
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.044416238 = queryNorm
            0.16150802 = fieldWeight in 647, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.03125 = fieldNorm(doc=647)
      0.33333334 = coord(2/6)
    
    Abstract
    Humans have used electronic information retrieval (IR) systems for more than 50 years as they evolved from experimental systems to full-scale Web search engines and digital libraries. The fields of library and information science (LIS), cognitive science, human factors and computer science have historically been the leading disciplines in conducting research that seeks to model human interaction with IR systems for all kinds of information related behaviors. As technology problems have been mastered, the theoretical and applied framework for studying human interaction with IR systems has evolved from systems-centered to more user-centered, or cognitive-centered approaches. However, cognitive information retrieval (CIR) research that focuses on user interaction with IR systems is still largely under-funded and is often not included at computing and systems design oriented conferences. But CIR-focused research continues, and there are signs that some IR systems designers in academia and the Web search business are realizing that user behavior research can provide valuable insights into systems design and evaluation. The goal of our book is to provide an overview of new CIR research directions. This book does not provide a history of the research field of CIR. Instead, the book confronts new ways of looking at the human information condition with regard to our increasing need to interact with IR systems. The need has grown due to a number of factors, including the increased importance of information to more people in this information age. Also, IR was once considered document-oriented, but has now evolved to include multimedia, text, and other information objects. As a result, IR systems and their complexity have proliferated as users and user purposes for using them have also proliferated. Human interaction with IR systems can often be frustrating as people often lack an understanding of IR system functionality.
  7. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.02
    0.017334577 = product of:
      0.10400745 = sum of:
        0.10400745 = weight(_text_:web in 2038) [ClassicSimilarity], result of:
          0.10400745 = score(doc=2038,freq=22.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = 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)
      0.16666667 = coord(1/6)
    
    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.
  8. Spink, A.; Saracevic, T.: Human-computer interaction in information retrieval : nature and manifestations of feedback (1998) 0.02
    0.015292614 = product of:
      0.09175568 = sum of:
        0.09175568 = weight(_text_:computer in 3763) [ClassicSimilarity], result of:
          0.09175568 = score(doc=3763,freq=8.0), product of:
            0.16231956 = queryWeight, product of:
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.044416238 = queryNorm
            0.56527805 = fieldWeight in 3763, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3763)
      0.16666667 = coord(1/6)
    
    Abstract
    Develops a theoretical framework for expressing the nature of feedback as a critical process in interactive information retrieval. Feedback concepts from cybernetics and social sciences perspectives are used to develop a concept of information feedback applicable to information retrieval. Adapts models from human-computer interaction and interactive information retrieval as a framework for studying the manifestations of feedback in information retrieval. Presents results from an empirical study of real-life interactions between users, professional mediators and an information retrieval system computer. Presents data involving 885 feedback loops classified in 5 categories. Presents a connection between the theoretical framework and empirical observations and provides a number of pragmatic and research suggestions
    Footnote
    Contribution to a special section of articles related to human-computer interaction and information retrieval
  9. Spink, A.; Jansen, B.J.; Pedersen , J.: Searching for people on Web search engines (2004) 0.02
    0.015087811 = product of:
      0.090526864 = sum of:
        0.090526864 = weight(_text_:web in 4429) [ClassicSimilarity], result of:
          0.090526864 = score(doc=4429,freq=24.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.6245262 = fieldWeight in 4429, product of:
              4.8989797 = tf(freq=24.0), with freq of:
                24.0 = termFreq=24.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4429)
      0.16666667 = coord(1/6)
    
    Abstract
    The Web is a communication and information technology that is often used for the distribution and retrieval of personal information. Many people and organizations mount Web sites containing large amounts of information on individuals, particularly about celebrities. However, limited studies have examined how people search for information on other people, using personal names, via Web search engines. Explores the nature of personal name searching on Web search engines. The specific research questions addressed in the study are: "Do personal names form a major part of queries to Web search engines?"; "What are the characteristics of personal name Web searching?"; and "How effective is personal name Web searching?". Random samples of queries from two Web search engines were analyzed. The findings show that: personal name searching is a common but not a major part of Web searching with few people seeking information on celebrities via Web search engines; few personal name queries include double quotations or additional identifying terms; and name searches on Alta Vista included more advanced search features relative to those on AlltheWeb.com. Discusses the implications of the findings for Web searching and search engines, and further research.
  10. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.02
    0.015087811 = product of:
      0.090526864 = sum of:
        0.090526864 = weight(_text_:web in 3623) [ClassicSimilarity], result of:
          0.090526864 = score(doc=3623,freq=24.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.6245262 = fieldWeight in 3623, product of:
              4.8989797 = tf(freq=24.0), with freq of:
                24.0 = termFreq=24.0
              3.2635105 = idf(docFreq=4597, 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.
  11. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004) 0.01
    0.014936171 = product of:
      0.08961702 = sum of:
        0.08961702 = weight(_text_:web in 2530) [ClassicSimilarity], result of:
          0.08961702 = score(doc=2530,freq=12.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.6182494 = fieldWeight in 2530, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2530)
      0.16666667 = coord(1/6)
    
    Abstract
    Understanding Web searching behavior is important in developing more successful and cost-efficient Web search engines. We provide results from a comparative time-based Web study of US-based Excite and Norwegian-based Fast Web search logs, exploring variations in user searching related to changes in time of the day. Findings suggest: (1) fluctuations in Web user behavior over the day, (2) user investigations of query results are much longer, and submission of queries and number of users are much higher in the mornings, and (3) some query characteristics, including terms per query and query reformulation, remain steady throughout the day. Implications and further research are discussed.
  12. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: Multimedia Web searching trends : 1997-2001 (2003) 0.01
    0.014936171 = product of:
      0.08961702 = sum of:
        0.08961702 = weight(_text_:web in 1072) [ClassicSimilarity], result of:
          0.08961702 = score(doc=1072,freq=12.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.6182494 = fieldWeight in 1072, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1072)
      0.16666667 = coord(1/6)
    
    Abstract
    Multimedia is proliferating on Web sites, as the Web continues to enhance the integration of multimedia and textual information. In this paper we examine trends in multimedia Web searching by Excite users from 1997 to 2001. Results from an analysis of 1,025,910 Excite queries from 2001 are compared to similar Excite datasets from 1997 to 1999. Findings include: (1) queries per multimedia session have decreased since 1997 as a proportion of general queries due to the introduction of multimedia buttons near the query box, (2) multimedia queries identified are longer than non-multimedia queries, and (3) audio queries are more prevalent than image or video queries in identified multimedia queries. Overall, we see multimedia Web searching undergoing major changes as Web content and searching evolves.
  13. Spink, A.: Web search : emerging patterns (2004) 0.01
    0.0147829745 = product of:
      0.08869784 = sum of:
        0.08869784 = weight(_text_:web in 23) [ClassicSimilarity], result of:
          0.08869784 = score(doc=23,freq=16.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.6119082 = fieldWeight in 23, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=23)
      0.16666667 = coord(1/6)
    
    Abstract
    This article examines the public searching of the Web and provides an overview of recent research exploring what we know about how people search the Web. The article reports selected findings from studies conducted from 1997 to 2002 using large-scale Web user data provided by commercial Web companies, including Excite, Ask Jeeves, and AlltheWeb.com. We examined what topics people search for on the Web; how people search the Web using keywords in queries during search sessions; and the different types of searches conducted for multimedia, medical, e-commerce, sex, etc., information. Key findings include changes and differences in search topics over time, including a shift from entertainment to e-commerce searching by largely North American users. Findings show little change in current patterns of Web searching by many users from short queries and sessions. Alternatively, we see more complex searching behaviors by some users, including successive and multitasking searches.
  14. Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005) 0.01
    0.01444548 = product of:
      0.08667288 = sum of:
        0.08667288 = weight(_text_:web in 1015) [ClassicSimilarity], result of:
          0.08667288 = score(doc=1015,freq=22.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.59793836 = fieldWeight in 1015, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1015)
      0.16666667 = coord(1/6)
    
    Abstract
    The Web has become a worldwide source of information and a mainstream business tool. It is changing the way people conduct the daily business of their lives. As these changes are occurring, we need to understand what Web searching trends are emerging within the various global regions. What are the regional differences and trends in Web searching, if any? What is the effectiveness of Web search engines as providers of information? As part of a body of research studying these questions, we have analyzed two data sets collected from queries by mainly European users submitted to AlltheWeb.com on 6 February 2001 and 28 May 2002. AlltheWeb.com is a major and highly rated European search engine. Each data set contains approximately a million queries submitted by over 200,000 users and spans a 24-h period. This longitudinal benchmark study shows that European Web searching is evolving in certain directions. There was some decline in query length, with extremely simple queries. European search topics are broadening, with a notable percentage decline in sexual and pornographic searching. The majority of Web searchers view fewer than five Web documents, spending only seconds on a Web document. Approximately 50% of the Web documents viewed by these European users were topically relevant. We discuss the implications for Web information systems and information content providers.
  15. Spink, A.; Wolfram, D.; Jansen, B.J.; Saracevic, T.: Searching the Web : the public and their queries (2001) 0.01
    0.014366468 = product of:
      0.08619881 = sum of:
        0.08619881 = weight(_text_:web in 6980) [ClassicSimilarity], result of:
          0.08619881 = score(doc=6980,freq=34.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.59466785 = fieldWeight in 6980, product of:
              5.8309517 = tf(freq=34.0), with freq of:
                34.0 = termFreq=34.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=6980)
      0.16666667 = coord(1/6)
    
    Abstract
    In previous articles, we reported the state of Web searching in 1997 (Jansen, Spink, & Saracevic, 2000) and in 1999 (Spink, Wolfram, Jansen, & Saracevic, 2001). Such snapshot studies and statistics on Web use appear regularly (OCLC, 1999), but provide little information about Web searching trends. In this article, we compare and contrast results from our two previous studies of Excite queries' data sets, each containing over 1 million queries submitted by over 200,000 Excite users collected on 16 September 1997 and 20 December 1999. We examine how public Web searching changing during that 2-year time period. As Table 1 shows, the overall structure of Web queries in some areas did not change, while in others we see change from 1997 to 1999. Our comparison shows how Web searching changed incrementally and also dramatically. We see some moves toward greater simplicity, including shorter queries (i.e., fewer terms) and shorter sessions (i.e., fewer queries per user), with little modification (addition or deletion) of terms in subsequent queries. The trend toward shorter queries suggests that Web information content should target specific terms in order to reach Web users. Another trend was to view fewer pages of results per query. Most Excite users examined only one page of results per query, since an Excite results page contains ten ranked Web sites. Were users satisfied with the results and did not need to view more pages? It appears that the public continues to have a low tolerance of wading through retrieved sites. This decline in interactivity levels is a disturbing finding for the future of Web searching. Queries that included Boolean operators were in the minority, but the percentage increased between the two time periods. Most Boolean use involved the AND operator with many mistakes. The use of relevance feedback almost doubled from 1997 to 1999, but overall use was still small. An unusually large number of terms were used with low frequency, such as personal names, spelling errors, non-English words, and Web-specific terms, such as URLs. Web query vocabulary contains more words than found in large English texts in general. The public language of Web queries has its own and unique characteristics. How did Web searching topics change from 1997 to 1999? We classified a random sample of 2,414 queries from 1997 and 2,539 queries from 1999 into 11 categories (Table 2). From 1997 to 1999, Web searching shifted from entertainment, recreation and sex, and pornography, preferences to e-commerce-related topics under commerce, travel, employment, and economy. This shift coincided with changes in information distribution on the publicly indexed Web.
  16. Spink, A.; Gunar, O.: E-Commerce Web queries : Excite and AskJeeves study (2001) 0.01
    0.013937522 = product of:
      0.08362513 = sum of:
        0.08362513 = weight(_text_:web in 910) [ClassicSimilarity], result of:
          0.08362513 = score(doc=910,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.5769126 = fieldWeight in 910, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.125 = fieldNorm(doc=910)
      0.16666667 = coord(1/6)
    
  17. Tjondronegoro, D.; Spink, A.; Jansen, B.J.: ¬A study and comparison of multimedia Web searching : 1997-2006 (2009) 0.01
    0.013773223 = product of:
      0.08263934 = sum of:
        0.08263934 = weight(_text_:web in 3090) [ClassicSimilarity], result of:
          0.08263934 = score(doc=3090,freq=20.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.5701118 = fieldWeight in 3090, 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=3090)
      0.16666667 = coord(1/6)
    
    Abstract
    Searching for multimedia is an important activity for users of Web search engines. Studying user's interactions with Web search engine multimedia buttons, including image, audio, and video, is important for the development of multimedia Web search systems. This article provides results from a Weblog analysis study of multimedia Web searching by Dogpile users in 2006. The study analyzes the (a) duration, size, and structure of Web search queries and sessions; (b) user demographics; (c) most popular multimedia Web searching terms; and (d) use of advanced Web search techniques including Boolean and natural language. The current study findings are compared with results from previous multimedia Web searching studies. The key findings are: (a) Since 1997, image search consistently is the dominant media type searched followed by audio and video; (b) multimedia search duration is still short (>50% of searching episodes are <1 min), using few search terms; (c) many multimedia searches are for information about people, especially in audio search; and (d) multimedia search has begun to shift from entertainment to other categories such as medical, sports, and technology (based on the most repeated terms). Implications for design of Web multimedia search engines are discussed.
  18. Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005) 0.01
    0.012802432 = product of:
      0.07681459 = sum of:
        0.07681459 = weight(_text_:web in 3454) [ClassicSimilarity], result of:
          0.07681459 = score(doc=3454,freq=12.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.5299281 = fieldWeight in 3454, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=3454)
      0.16666667 = coord(1/6)
    
    Abstract
    Major Web search engines, such as AItaVista, are essential tools in the quest to locate online information. This article reports research that used transaction log analysis to examine the characteristics and changes in AItaVista Web searching that occurred from 1998 to 2002. The research questions we examined are (1) What are the changes in AItaVista Web searching from 1998 to 2002? (2) What are the current characteristics of AItaVista searching, including the duration and frequency of search sessions? (3) What changes in the information needs of AItaVista users occurred between 1998 and 2002? The results of our research show (1) a move toward more interactivity with increases in session and query length, (2) with 70% of session durations at 5 minutes or less, the frequency of interaction is increasing, but it is happening very quickly, and (3) a broadening range of Web searchers' information needs, with the most frequent terms accounting for less than 1% of total term usage. We discuss the implications of these findings for the development of Web search engines.
  19. Spink, A.; Ozmutlu, H.C.; Ozmutlu, S.: Multitasking information seeking and searching processes (2002) 0.01
    0.012319146 = product of:
      0.07391487 = sum of:
        0.07391487 = weight(_text_:web in 600) [ClassicSimilarity], result of:
          0.07391487 = score(doc=600,freq=16.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.5099235 = fieldWeight in 600, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=600)
      0.16666667 = coord(1/6)
    
    Abstract
    Recent studies show that humans engage in multitasking behaviors as they seek and search information retrieval (IR) systems for information on more than one topic at the same time. For example, a Web search session by a single user may consist of searching on single topics or multitasking. Findings are presented from four separate studies of the prevalence of multitasking information seeking and searching by Web, IR system, and library users. Incidence of multitasking identified in the four different studies included: (1) users of the Excite Web search engine who completed a survey form, (2) Excite Web search engine users filtered from an Excite transaction log from 20 December 1999, (3) mediated on-line databases searches, and (4) academic library users. Findings include: (1) multitasking information seeking and searching is a common human behavior, (2) users may conduct information seeking and searching on related or unrelated topics, (3) Web or IR multitasking search sessions are longer than single topic sessions, (4) mean number of topics per Web search ranged of 1 to more than 10 topics with a mean of 2.11 topic changes per search session, and (4) many Web search topic changes were from hobbies to shopping and vice versa. A more complex model of human seeking and searching levels that incorporates multitasking information behaviors is presented, and a theoretical framework for human information coordinating behavior (HICB) is proposed. Multitasking information seeking and searching is developing as major research area that draws together IR and information seeking studies toward a focus on IR within the context of human information behavior. Implications for models of information seeking and searching, IR/Web systems design, and further research are discussed.
  20. Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007) 0.01
    0.012319146 = product of:
      0.07391487 = sum of:
        0.07391487 = weight(_text_:web in 270) [ClassicSimilarity], result of:
          0.07391487 = score(doc=270,freq=16.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.5099235 = fieldWeight in 270, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=270)
      0.16666667 = coord(1/6)
    
    Abstract
    Metasearch engines are an intuitive method for improving the performance of Web search by increasing coverage, returning large numbers of results with a focus on relevance, and presenting alternative views of information needs. However, the use of metasearch engines in an operational environment is not well understood. In this study, we investigate the usage of Dogpile.com, a major Web metasearch engine, with the aim of discovering how Web searchers interact with metasearch engines. We report results examining 2,465,145 interactions from 534,507 users of Dogpile.com on May 6, 2005 and compare these results with findings from other Web searching studies. We collect data on geographical location of searchers, use of system feedback, content selection, sessions, queries, and term usage. Findings show that Dogpile.com searchers are mainly from the USA (84% of searchers), use about 3 terms per query (mean = 2.85), implement system feedback moderately (8.4% of users), and generally (56% of users) spend less than one minute interacting with the Web search engine. Overall, metasearchers seem to have higher degrees of interaction than searchers on non-metasearch engines, but their sessions are for a shorter period of time. These aspects of metasearching may be what define the differences from other forms of Web searching. We discuss the implications of our findings in relation to metasearch for Web searchers, search engines, and content providers.