-
Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998)
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- Date
- 6. 3.1999 18:32:28
-
He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002)
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- Date
- 21. 7.2006 14:07:28
-
Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004)
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- Date
- 15. 8.2004 12:00:29
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Spink, A.; Saracevic, T.: Dynamics of search term selection during mediated online searching (1993)
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- Source
- Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
-
Desai, M.; Spink, A.: ¬A algorithm to cluster documents based on relevance (2005)
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- Date
- 26.12.2007 20:28:53
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Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008)
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- Date
- 28. 7.2008 15:56:16
-
Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009)
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- Abstract
- Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching. This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query reformulation. We employed an n-gram modeling approach to describe the probability of users transitioning from one query-reformulation state to another to predict their next state. We developed first-, second-, third-, and fourth-order models and evaluated each model for accuracy of prediction, coverage of the dataset, and complexity of the possible pattern set. The results show that Reformulation and Assistance account for approximately 45% of all query reformulations; furthermore, the results demonstrate that the first- and second-order models provide the best predictability, between 28 and 40% overall and higher than 70% for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance.
-
Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005)
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- Date
- 3. 6.2005 19:29:59
-
Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009)
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- Date
- 22. 3.2009 17:49:11
-
Spink, A.: Towards a theoretical framework for information retrieval in an information seeking context (1999)
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- Date
- 23. 3.2002 9:32:28
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Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006)
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- 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.
-
Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005)
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- 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.
-
Spink, A.; Greisdorf, H.: Regions and levels : Measuring and mapping users' relevance judgements (2001)
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- Date
- 29. 9.2001 13:59:20
-
Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 3: successive searching (2002)
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- Date
- 21. 7.2006 14:29:18
-
Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007)
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- Date
- 29. 4.2007 21:12:02
-
Goodrum, A.; Spink, A.: Visual information seeking : a study of image queries on the world wide web (1999)
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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
-
Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005)
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- Date
- 19. 1.2007 12:55:22
