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Supporting intelligent Web search

Published: 01 October 2007 Publication History

Abstract

Search engines continue to struggle to provide everyday users with a service capable of delivering focussed results that are relevant to their information needs. Moreover, traditional search engines really only provide users with a starting point for their information search. That is, upon selecting a page from a search result list, the interaction between user and search engine is effectively over and the user must continue their search alone. In this article, we argue that a comprehensive search service needs to provide the user with more help, both at the result list level and beyond, and we outline some recommendations for intelligent Web search support. We introduce the SearchGuide Web search support system and we describe how it fulfils the requirements for a search support system, providing evaluation results where applicable.

References

[1]
Ahn, J.-W., Brusilovsky, P., and Farzan, R. 2005. Investigating users' needs and behaviour for social search. In Proceedings of the Workshop on New Technologies for Personalized Information Access (part of the 10th International Conference on User Modelling (UM '05)). 1--12.
[2]
Baeza-Yates, R. A., Hurtado, C. A., and Mendoza, M. 2004. Query recommendation using query logs in search engines. In Current Trends in Database Technology---EDBT 2004 Workshops, EDBT 2004 Workshops PhD, DataX, PIM, P2P&DB, and ClustWeb. 588--596.
[3]
Benczúr, A. A., Csalogány, K., and Sarlás, T. 2005. On the feasibility of low-rank approximation for personalized PageRank. In WWW '05: Special Interest Tracks and Posters of the 14th International Conference on the World Wide Web. ACM Press, New York, NY, 972--973.
[4]
Buckley, C., Salton, G., Allan, J., and Singhal, A. 1994. Automatic query expansion using SMART: TREC 3. In Proceedings of the Text REtrieval Conference. 69--80.
[5]
Budzik, J. and Hammond, K. 2000. User interactions with everyday applications as context for just-in-time information access. In Proceedings of the International Conference on Intelligent User Interfaces. ACM Press, New York, NY, 44--51.
[6]
Chimera, R. 1992. Value bars: An information visualization and navigation tool for multi-attribute listings. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '92). ACM Press, New York, NY, 293--294.
[7]
Chirita, P.-A., Olmedilla, D., and Nejdl, W. 2004. Pros: A personalized ranking platform for Web search. In Adaptive Hypermedia and Adaptive Web-Based Systems, 3rd International Conference (AH '04). Vol. 3137. 34--43.
[8]
Coyle, M. and Smyth, B. 2004a. SearchGuide: Beyond the results page. In Proceedings of the 3rd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems. 296--299.
[9]
Coyle, M. and Smyth, B. 2004b. The SearchGuide intelligent, context-sensitive search assistant. In Proceedings of the 15th Irish Conference on Artificial Intelligence and Cognitive Science. 199--208.
[10]
Coyle, M. and Smyth, B. 2005a. Enhancing Web search result lists using interaction histories. In Proceedings of the 27th European Conference on IR Research (ECIR '05). Springer-Verlag, Berlin, Germany, 543--545.
[11]
Coyle, M. and Smyth, B. 2005b. Explaining search results. In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI '05). Morgan Kaufmann, San Francisco, CA, 1553--1555.
[12]
Finkelstein, L., Gabrilovich, E., Matias, Y., Rivlin, E., Solan, Z., Wolfman, G., and Ruppin, E. 2001. Placing search in context: The concept revisited. In WWW '01: Proceedings of the 10th International Conference on the World Wide Web. ACM Press, New York, NY, 406--414.
[13]
Fogaras, D. and Rácz, B. 2004. Towards scaling fully personalized PageRank. In Proceedings of the 3rd Workshop on Algorithms and Models for the Web-Graph (WAW). 105--117.
[14]
Glover, E., Lawrence, S., Gordon, M. D., Birmingham, W. P., and Giles, C. L. 2000. Web search---your way. Commun. ACM 44, 12, 97--102.
[15]
Glover, E. J., Flake, G. W., Lawrence, S., Birmingham, W. P., Kruger, A., Giles, C. L., and Pennock, D. M. 2001. Improving category specific Web search by learning query modifications. In Proceedings of the Symposium on Applications and the Internet (SAINT). IEEE Computer Society Press, Los Alamitos, CA, 23--31.
[16]
Gulli, A. and Signorini, A. 2005. The indexable Web is more than 11.5 billion pages. In Proceedings of the 14th international conference on World Wide Web (WWW '05). (Special interest tracks and posters). ACM Press, New York, NY, 902--903.
[17]
Haveliwala, T. H. 2002. Topic-sensitive pageRank. In Proceedings of the 11th World-Wide Web Conference. ACM Press, New York, NY.
[18]
Hearst, M. A. 1995. Tilebars: Visualization of term distribution information in full text information access. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '95). ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 59--66.
[19]
Herlocker, J. L., Konstan, J. A., and Riedl, J. 2000. Explaining collaborative filtering recommendations. In Proceedings of the 2000 ACM Conference on Computer-Supported Cooperative Work (CSCW '00). ACM Press, New York, NY, 241--250.
[20]
Hightower, R. R., Ring, L. T., Helfman, J. I., Bederson, B. B., and Hollan, J. D. 1998. Padprints: Graphical multiscale Web histories. In UIST '98: Proceedings of the 11th Annual ACM Symposium on User Interface Software and Technology. ACM Press, New York, NY, 121--122.
[21]
Hill, W. and Hollan, J. 1994. History-enriched digital objects: prototypes and policy issues. Inform. Soc. 10, 139--145.
[22]
Hill, W., Hollan, J., Wroblewzki, D., and McCandless, T. 1992. Edit wear and read wear. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Press, New York, NY, 3--9.
[23]
Jeh, G. and Widom, J. 2003. Scaling personalized Web search. In Proceedings of the 12th International Conference on the World Wide Web (WWW '03). ACM Press, New York, NY, 271--279.
[24]
Joachims, T., Freitag, D., and Mitchell, T. 1997. Webwatcher: A tour guide for the World Wide Web. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI'97. Morgan Kaufman, San Francisco, 770--775.
[25]
Joachims, T., Granka, L., Pan, B., Hembrooke, H., and Gay, G. 2005. Accurately interpreting clickthrough data as implicit feedback. In Proceedings of the 28th International Conference on Research and Development in Information Retrieval (SIGIR '05).
[26]
Kamvar, S., Haveliwala, T., Manning, C., and Golub, G. 2003. Exploiting the block structure of the Web for computing PageRank. Stanford University Tech. Rep. Stanford, CA.
[27]
Keane, M. T., O'Brien, M., and Smyth, B. 2007. Are people biased in their use of search-engines? In Communic. ACM. In press.
[28]
Kobsa, A. 2002. Personalized hypermedia and international privacy. Commun. ACM 45, 5, 64--67.
[29]
Kruger, A., Giles, C. L., Coetzee, F., Glover, E., Flake, G., Lawrence, S., and Omlin, C. 2000. Building a new niche search engine. In Proceedings of the Ninth International Conference on Information and Knowledge Management.
[30]
Lawrence, S. 2000. Context in Web search. IEEE Data Eng. Bull. 23, 3, 25--32.
[31]
Lawrence, S. and Giles, C. L. 1999. Searching the Web: General and scientific information access. IEEE Commun. 37, 1, 116--122.
[32]
Lieberman, H. 1995. Letizia: An agent that assists web browsing. In Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI'95, C. Mellish, Ed. Morgan Kaufman, San Francisco, CA, 924--929.
[33]
Liu, F., Yu, C., and Meng, W. 2004. Personalized Web search for improving retrieval effectiveness. IEEE Trans. Knowl. Data Engin. 16, 1, 28--40.
[34]
Manber, U., Smith, M., and Gopal, B. 1997. WebGlimpse: Combining browsing and searching. In Proceedings of the 1997 Usenix Technical Conference.
[35]
Mann, T. M. 1999. Visualization of WWW-search results. In Proceedings of the International Workshop on Web-Based Information Visualization (WebVis'99) in conjunction with the Tenth International Workshop on Database and Expert Systems Applications (DEXA'99). 264--268.
[36]
Mitra, M., Singhal, A., and Buckley, C. 1998. Improving automatic query expansion. In Proceedings of ACM SIGIR. ACM Press, New York, NY, 206--214.
[37]
O'Day, V. L. and Jeffries, R. 1993. Orienteering in an information landscape: How information seekers get from here to there. In CHI '93: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Press, New York, NY, 438--445.
[38]
Olston, C. and Chi, E. H. 2003. Scenttrails: Integrating browsing and searching on the Web. ACM Trans. Comput.-Hum. Interac. 10, 3, 177--197.
[39]
Page, L., Brin, S., Motwani, R., and Winograd, T. 1998. The Pagerank citation ranking: Bringing order to the web. Tech. Rep. SIDL-WP-1999-0120. Stanford Digital Library Technologies Project, Stanford, CA.
[40]
Pitkow, J., Schtze, H., Cass, T., Cooley, R., Turnbull, D., Edmonds, A., Adar, E., and Breuel, T. 2002. Personalized search. Commun. ACM 45, 9, 50--55.
[41]
Reiterer, H., Tullius, G., and Mann, T. M. 2005. Insyder: A content-based visual-information-seeking system for the Web. Int. J. Dig. Lib. 5, 1, 25--41.
[42]
Rhodes, B. J. and Starner, T. 1996. Remembrance Agent: A continuously running automated information retrieval system. In Proceedings of the First International Conference on the Practical Applications of Intelligent Agents and Multi-Agent Technologies. 487--495.
[43]
Rocchio, J. 1971. The Smart Retrieval System: Experiments in Automatic Document Processing. Chapter 14: “Relevance Feedback in Information Retrieval.” Prentice-Hall, Englewood Cliffs, NJ, 313--323.
[44]
Silverstein, C., Henzinger, M., Marais, H., and Moricz, M. 1998. Analysis of a very large altavista query log. Tech. Rep. 1998-014. Digital SRC. Available oline at http://gatekeeper.dec. com/pub/DEC/SRC/technical-notes/abstracts/src-tn-1998-014.html.
[45]
Smyth, B., Balfe, E., Briggs, P., Coyle, M., and Freyne, J. 2003. Collaborative Web search. In Proceedings of the 18th International Joint Conference on Artificial Intelligence, IJCAI-03. Morgan Kaufmann, San Francisco, CA, 1417--1419.
[46]
Smyth, B., Balfe, E., Freyne, J., Briggs, P., Coyle, M., and Boydell, O. 2004. Exploiting query repetition and regularity in an adaptive community-based Web search engine. User Model. User-Adapt. Interact.: J. Personaliz. Res. 14, 5, 383--423.
[47]
Spink, A., Bateman, J., and Jansen, M. B. 1998. Searching heterogeneous collections on the Web: Behaviour of Excite users. Inform. Res.: Electron. J. 4, 2.
[48]
Teevan, J., Alvarado, C., Ackerman, M. S., and Karger, D. R. 2004. The perfect search engine is not enough: A study of orienteering behavior in directed search. In CHI '04: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Press, New York, NY, 415--422.
[49]
Teevan, J., Dumais, S. T., and Horvitz, E. 2005a. Beyond the commons: Investigating the value of personalizing Web search. In Proceedings of the Workshop on New Technologies for Personalized Information Access (part of the 10th International Conference on User Modelling (UM '05)). 84--92.
[50]
Teevan, J., Dumais, S. T., and Horvitz, E. 2005b. Personalizing search via automated analysis of interests and activities. In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '05). ACM Press, New York, NY, 449--456.
[51]
Wexelblat, A. 1999. History-based tools for navigation. In Proceedings of the 32nd Hawaii International Conference on System Sciences. IEEE Press, Los Alamitos, CA, 2033--2044.
[52]
Wexelblat, A. and Maes, P. 1997. Footprints: History-rich Web browsing. In Proceedings of the Third International Conference on Computer-Assisted Information Retrieval. 75--84.
[53]
White, R. W. 2004. A visualisation technique to communicate implicit feedback decisions. In Proceedings of the 26th Annual European Conference on Information Retrieval (ECIR 2004). 23--24.
[54]
White, R. W., Kules, B., Drucker, S. M., and Schraefel, M. M. 2006. Supporting exploratory search. Commun. ACM 49, 4.
[55]
White, R. W., Ruthven, I., and Jose, J. M. 2002. The use of implicit evidence for relevance feedback in Web retrieval. In Proceedings of the 24th BSC-IRSG European Colloquium on IR Research (ECIR 2002). 93--109.
[56]
Xu, J. and Croft, W. B. 2000. Improving the effectiveness of information retrieval with local context analysis. ACM Trans. Inform. Syst. 18, 1, 79--112.

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    cover image ACM Transactions on Internet Technology
    ACM Transactions on Internet Technology  Volume 7, Issue 4
    October 2007
    153 pages
    ISSN:1533-5399
    EISSN:1557-6051
    DOI:10.1145/1278366
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 October 2007
    Published in TOIT Volume 7, Issue 4

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    Author Tags

    1. Collaborative search
    2. Web search
    3. explanation
    4. interaction history
    5. personalization
    6. visualisation

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    • (2015)Profile-Based Summarisation for Web Site NavigationACM Transactions on Information Systems10.1145/269966133:1(1-39)Online publication date: 17-Feb-2015
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