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INTEGRATING BROWSING AND SEARCHING WebGlimpse and ScentTrails -Rajesh Golla

This article explores the integration of browsing and searching paradigms in information retrieval, discussing the advantages and disadvantages of each approach. It introduces WebGlimpse and ScentTrails as two systems that combine browsing and searching techniques. WebGlimpse analyzes archives, collects remote pages, computes neighborhoods, and provides search outputs. ScentTrails uses information scent cues to guide users in their browsing and searching activities. The article also presents experimental results and concludes with recommendations for further research.

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INTEGRATING BROWSING AND SEARCHING WebGlimpse and ScentTrails -Rajesh Golla

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  1. INTEGRATING BROWSING AND SEARCHING WebGlimpse and ScentTrails -Rajesh Golla

  2. Introduction Two paradigms of finding information • Searching • Browsing Searching • Advantages-can find information quickly • Disadvantages-inappropriate results

  3. Intro continued Browsing • Advantages- useful when keywords cannot be framed • Disadvantages – time consuming

  4. WebGlimpse-1997 Idea- not to waste the time and effort spent in reaching a particular page What does WebGlimpse do? • Analyze an archive • Collect remote pages • Compute neighborhoods • Add search boxes • User search GLIMPSE- search engine

  5. output • outputs the title of each matching URL with a link to it • It computes the right line number for each match • All the matching keywords are highlighted • The dates of modification are showed for each file.

  6. Experiment and results • Arizona Legislative Information system Archive • Query time depended on type of query • No difference in whole archive search and neighborhood search • refinement of the code – will improve performance

  7. ScentTrails-2003 Information Scent: Information scent is the imperfect, subjective perception of the value, cost or access path of information sources obtained from browsing cues • user not certain what he/she is looking for • criteria cannot be specified using keywords • exact terms used on the Web pages not known • browsing useful if most of the information is to be obtained along the path and not just from the final page

  8. ScentTrails • user enters list of keywords – representing partial information goal • Search results annotated • Highlighting • Amount of highlighting- information scent algorithm- seven font sizes • User navigates using search and browse cues

  9. ScentTrails • ScentTrails takes into account the distance or the number of clicks required to reach the relevant page • Scent conduits • Information scent

  10. Problems with highlighting font size variation had two problems • page is distorted • the users generally do not know the actual font size

  11. Experiment • Study comparing search, browse, ShortScent and ScentTrails • 12 subjects • 8 tasks of finding information • Xerox website • Learning effects minimal

  12. results • Some tasks amenable to search and some to browsing • Search better than browsing • ScentTrails better than all the three in task completion time • Subjects preferred ScentTrails

  13. conclusions • Concept of integrating the two models is useful • Find out what kind of highlighting is good for certain contexts • Need to run studies across various types of websites

  14. References • Manber, U., Smith, M., and Gopal, B., 1997. WebGlimpse: Combining Browsing and Searching. In proceedings of the Usenix technical conference, Los Angeles, CA, January 1997. • Olston, C., Chi, E., 2003. ScentTrails: Integrating Browsing and Searching on the Web. ACM transactions on computer-Human Interaction, vol.10, No.3. September 2003, Pages 177-197.

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