Search (34 results, page 2 of 2)

  • × author_ss:"Jansen, B.J."
  1. Jansen, B.J.: Searching for digital images on the web (2008) 0.00
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    Abstract
    Purpose - The purpose of this paper is to examine the way in which end user searching on the web has become the primary method of locating digital images for many people. This paper seeks to investigate how users structure these image queries. Design/methodology/approach - This study investigates the structure and formation of image queries on the web by mapping a sample of web queries to three known query classification schemes for image searching (i.e. Enser and McGregor, Jörgensen, and Chen). Findings - The results indicate that the features and attributes of web image queries differ relative to image queries utilized on other information retrieval systems and by other user populations. This research points to the need for five additional attributes (i.e. collections, pornography, presentation, URL, and cost) in order to classify web image queries, which were not present in any of the three prior classification schemes. Research limitations/implications - Patterns in web searching for image content do emerge that inform the design of web-based multimedia systems, namely, that there is a high interest in locating image collections by web searchers. Objects and people images are the predominant interest for web searchers. Cost is a factor for web searching. This knowledge of the structure of web image queries has implications for the design of image information retrieval systems and repositories, especially in the area of automatic tagging of images with metadata. Originality/value - This is the first research that examines whether or not one can apply image query classifications schemes to web image queries.
  2. Tjondronegoro, D.; Spink, A.; Jansen, B.J.: ¬A study and comparison of multimedia Web searching : 1997-2006 (2009) 0.00
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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.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.9, S.1756-1768
  3. Jansen, B.J.; Molina, P.R.: ¬The effectiveness of Web search engines for retrieving relevant ecommerce links (2006) 0.00
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    Source
    Information processing and management. 42(2006) no.4, S.1075-1098
  4. Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.3, S.1251-1266
  5. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1358-1371
  6. Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1426-1441
  7. Jansen, B.J.; Spink, A.; Blakely, C.; Koshman, S.: Defining a session on Web search engines (2007) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.862-871
  8. Jansen, B.J.; Zhang, M.; Schultz, C.D.: Brand and its effect on user perception of search engine performance (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1572-1595
  9. Jansen, B.J.; Zhang, M.; Sobel, K.; Chowdury, A.: Twitter power : tweets as electronic word of mouth (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2169-2188
  10. Jansen, B.J.; Liu, Z.; Simon, Z.: ¬The effect of ad rank on the performance of keyword advertising campaigns (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.2115-2132
  11. Ortiz-Cordova, A.; Yang, Y.; Jansen, B.J.: External to internal search : associating searching on search engines with searching on sites (2015) 0.00
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    Source
    Information processing and management. 51(2015) no.5, S.718-736
  12. Coughlin, D.M.; Campbell, M.C.; Jansen, B.J.: ¬A web analytics approach for appraising electronic resources in academic libraries (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.3, S.518-534
  13. Coughlin, D.M.; Jansen, B.J.: Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2263-2273
  14. Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006) 0.00
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    Source
    Information processing and management. 42(2006) no.5, S.1379-1391