Search (19 results, page 1 of 1)

  • × author_ss:"Spink, A."
  1. Tjondronegoro, D.; Spink, A.; Jansen, B.J.: ¬A study and comparison of multimedia Web searching : 1997-2006 (2009) 0.01 
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    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.
  2. Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998) 0.00 
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    Date
    6. 3.1999 18:32:28
  3. He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002) 0.00 
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    Date
    21. 7.2006 14:07:28
  4. Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004) 0.00 
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    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.
  5. Spink, A.; Saracevic, T.: Dynamics of search term selection during mediated online searching (1993) 0.00 
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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
  6. Desai, M.; Spink, A.: ¬A algorithm to cluster documents based on relevance (2005) 0.00 
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    Date
    26.12.2007 20:28:53
  7. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.00 
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    Date
    28. 7.2008 15:56:16
  8. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.00 
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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.
  9. Spink, A.: Towards a theoretical framework for information retrieval in an information seeking context (1999) 0.00 
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    Date
    23. 3.2002 9:32:28
  10. Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006) 0.00 
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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.
  11. Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005) 0.00 
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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.
  12. 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
  13. 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
  14. 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
  15. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.00 
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    Date
    22. 3.2009 17:49:11
  16. 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
  17. 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
  18. 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
  19. 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

Authors

Years

Types

  • a 18
  • m 1

Themes

Subjects

Classifications