Search (20 results, page 1 of 1)

  • × author_ss:"Spink, A."
  1. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
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    Date
    22. 3.2009 17:49:11
    Theme
    Internet
  2. Spink, A.; Gunar, O.: E-Commerce Web queries : Excite and AskJeeves study (2001) 0.01
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    Theme
    Internet
  3. Griesdorf, H.; Spink, A.: Median measure : an approach to IR systems evaluation (2001) 0.01
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    Theme
    Internet
  4. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.01
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    Theme
    Internet
  5. Jansen, B.J.; Spink, A.; Saracevic, T.: Real life, real users and real needs : a study and analysis of users queries on the Web (2000) 0.01
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    Theme
    Internet
  6. Jansen, B.J.; Spink, A.; Blakely, C.; Koshman, S.: Defining a session on Web search engines (2007) 0.01
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    Abstract
    Detecting query reformulations within a session by a Web searcher is an important area of research for designing more helpful searching systems and targeting content to particular users. Methods explored by other researchers include both qualitative (i.e., the use of human judges to manually analyze query patterns on usually small samples) and nondeterministic algorithms, typically using large amounts of training data to predict query modification during sessions. In this article, we explore three alternative methods for detection of session boundaries. All three methods are computationally straightforward and therefore easily implemented for detection of session changes. We examine 2,465,145 interactions from 534,507 users of Dogpile.com on May 6, 2005. We compare session analysis using (a) Internet Protocol address and cookie; (b) Internet Protocol address, cookie, and a temporal limit on intrasession interactions; and (c) Internet Protocol address, cookie, and query reformulation patterns. Overall, our analysis shows that defining sessions by query reformulation along with Internet Protocol address and cookie provides the best measure, resulting in an 82% increase in the count of sessions. Regardless of the method used, the mean session length was fewer than three queries, and the mean session duration was less than 30 min. Searchers most often modified their query by changing query terms (nearly 23% of all query modifications) rather than adding or deleting terms. Implications are that for measuring searching traffic, unique sessions may be a better indicator than the common metric of unique visitors. This research also sheds light on the more complex aspects of Web searching involving query modifications and may lead to advances in searching tools.
  7. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: Multimedia Web searching trends : 1997-2001 (2003) 0.00
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    Theme
    Internet
  8. Goodrum, A.; Spink, A.: Visual information seeking : a study of image queries on the world wide web (1999) 0.00
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    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
    Theme
    Internet
  9. Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004) 0.00
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    LCSH
    Internet searching
    Internet users
    RSWK
    Internet / Information Retrieval (BVB)
    Subject
    Internet / Information Retrieval (BVB)
    Internet searching
    Internet users
  10. Spink, A.: Web search : emerging patterns (2004) 0.00
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    Footnote
    Beitrag in einem Themenheft: Organizing the Internet
  11. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00
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    Theme
    Internet
  12. Spink, A.; Du, J.T.: Toward a Web search model : integrating multitasking, cognitive coordination, and cognitive shifts (2011) 0.00
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    Theme
    Internet
  13. Reneker, M.; Jacobson, A.; Wargo, L.; Spink, A.: Information environment of a military university campus : an exploratory study (1999) 0.00
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    Abstract
    The Naval Postgraduate School (NPS) is a military university educating officers from the United States and 40 foreign countries. To investigate the NPS information environment a large study obtained data on the range of information needs and behaviors of NPS personnel. The specific aim of the study was to supply organizational units with qualitative data specific to their client base, enabling them to improve campus systems and information services. Facilitators from the NPS Organizational Support Division conducted eighteen (18) focus groups during Spring Quarter 1998. Transcribed focus group sessions were analyzed using NUDIST software to identify key issues and results emerging from the data set. Categories of participants' information needs were identified, including an analysis of key information issues across the NPS campus. Use of Internet resources, other trusted individuals, and electronic indexes and abstracts ranked high among information sources used by NPS personnel. A picture emerges of a campus information environment poorly understood by the academic community. The three groups (students, staff and faculty) articulated different concerns and look to different sources to satisfy their information needs. Participants' information seeking problems centered on: (1) housing, registration and scheduling, computing and the quality of information available on the campus computer network, (2) an inability to easily disseminate information quickly to an appropriate campus audience, and (3) training in new information access technologies, and (4) the general lack of awareness of library resources and services. The paper discusses a method for more effectively disseminating information throughout the campus. Implications for the development of information seeking models and a model of the NPS information environment are discussed
  14. Spink, A.; Wolfram, D.; Jansen, B.J.; Saracevic, T.: Searching the Web : the public and their queries (2001) 0.00
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    Theme
    Internet
  15. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004) 0.00
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    Date
    15. 8.2004 12:00:29
  16. Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005) 0.00
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    Date
    3. 6.2005 19:29:59
  17. Spink, A.; Greisdorf, H.: Regions and levels : Measuring and mapping users' relevance judgements (2001) 0.00
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    Date
    29. 9.2001 13:59:20
  18. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 3: successive searching (2002) 0.00
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    Date
    21. 7.2006 14:29:18
  19. Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007) 0.00
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    Date
    29. 4.2007 21:12:02
  20. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.00
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    Date
    19. 1.2007 12:55:22