2007 RepresentingContextinWebSearchw
- (Sieg et al., 2007) ⇒ Ahu Sieg, Bamshad Mobasher, and Robin Burke. (2007). “Representing Context in Web Search with Ontological User Profiles.” In: Proceedings of the 6th international and interdisciplinary conference on Modeling and using context. ISBN:978-3-540-74254-8
Subject Headings: Ontological User Profile.
Notes
Cited By
- http://scholar.google.com/scholar?q=%222007%22+Representing+Context+in+Web+Search+with+Ontological+User+Profiles
- http://dl.acm.org/citation.cfm?id=1770806.1770839&preflayout=flat#citedby
Quotes
Abstract
One of the key factors for effective personalization of information access is the user context. We propose a framework which integrates several critical elements that make up the user context, namely, the user's short-term behavior, semantic knowledge from ontologies that provide explicit representations of the domain of interest, and long-term user profiles revealing interests and trends. Our proposed approach involves implicitly building ontological user profiles by assigning interest scores to existing concepts in a domain ontology. These profiles are, therefore, maintained and updated as annotated instances of a reference domain ontology. We propose a spreading activation algorithm for maintaining the interest scores in the user profile based on the user's ongoing behavior. Our experimental results show that the user context can be effectively utilized for Web search personalization. Specifically, re-ranking the search results based on interest scores derived from the semantic evidence in an ontological user profile provides better search results by proficiently bringing results closer to the top when they are most relevant to the user.
References
- 1. James Allan, Jay Aslam, Nicholas Belkin, Chris Buckley, Jamie Callan, Bruce Croft, Sue Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard Hovy, Wessel Kraaij, John Lafferty, Victor Lavrenko, David Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay Ponte, John Prager, Dragomir Radev, Philip Resnik, Stephen Robertson, Roni Rosenfeld, Salim Roukos, Mark Sanderson, Rich Schwartz, Amit Singhal, Alan Smeaton, Howard Turtle, Ellen Voorhees, Ralph Weischedel, Jinxi Xu, ChengXiang Zhai, Challenges in Information Retrieval and Language Modeling: Report of a Workshop Held at the Center for Intelligent Information Retrieval, University of Massachusetts Amherst, September 2002, ACM SIGIR Forum, v.37 n.1, p.31-47, Spring 2003 doi:10.1145/945546.945549
- 2. Ji-Rong Wen, Ni Lao, Wei-Ying Ma, Probabilistic Model for Contextual Retrieval, Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 25-29, 2004, Sheffield, United Kingdom doi:10.1145/1008992.1009005
- 3. Placing Search in Context: The Concept Revisited, ACM Transactions on Information Systems (TOIS), v.20 n.1, p.116-131, January 2002 doi:10.1145/503104.503110
- 4. Singh, A., Nakata, K.: Hierarchical Classification of Web Search Results Using Personalized Ontologies. In: Proceedings of the 3rd International Conference on Universal Access in Human-Computer Interaction, HCI International 2005, Las Vegas, NV (July 2005).
- 5. Xuehua Shen, Bin Tan, ChengXiang Zhai, UCAIR: A Personalized Search Toolbar, Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 15-19, 2005, Salvador, Brazil doi:10.1145/1076034.1076193
- 6. Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer, Using Hyperlink Features to Personalize Web Search, Proceedings of the 6th International Conference on Knowledge Discovery on the Web: Advances in Web Mining and Web Usage Analysis, August 22-25, 2004, Seattle, WA doi:10.1007/11899402_7
- 7. Fang Liu, Clement Yu, Weiyi Meng, Personalized Web Search For Improving Retrieval Effectiveness, IEEE Transactions on Knowledge and Data Engineering, v.16 n.1, p.28-40, January 2004 doi:10.1109/TKDE.2004.1264820
- 8. Haase, P., Sure, Y., Hotho, A., Schmidt-Thieme, L.: Usage-driven Evolution of Personalized Ontologies. In: Proceedings of the 3rd International Conference on Universal Access in Human-Computer Interaction, HCI International 2005, Las Vegas, NV (July 2005).
- 9. Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Thieme, Taxonomy-driven Computation of Product Recommendations, Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management, November 08-13, 2004, Washington, D.C., USA doi:10.1145/1031171.1031252
- 10. Trajkova, J., Gauch, S.: Improving Ontology-based User Profiles. In: Proceedings of the Recherche D'Information Assistée Par Ordinateur, RIAO 2004, University of Avignon (Vaucluse), France Pp. 380-389 (April 2004).
- 11. Gruber, T.R.: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. In: Formal Ontology in Conceptual Analysis and Knowledge Representation, Deventer, The Netherlands (1993).
- 12. Haav, H., Lubi, T.: A Survey of Concept-based Information Retrieval Tools on the Web. In: 5th East-European Conference, ADBIS 2001, Vilnius, Lithuania, Pp. 29-41 (2001).
- 13. Devanand Ravindran, Susan Gauch, Exploiting Hierarchical Relationships in Conceptual Search, Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management, November 08-13, 2004, Washington, D.C., USA doi:10.1145/1031171.1031221
- 14. Susan Gauch, Jason Chaffee, Alaxander Pretschner, Ontology-based Personalized Search and Browsing, Web Intelligence and Agent Systems, v.1 n.3-4, p.219-234, December 2003
- 15. Stuart E. Middleton, Nigel R. Shadbolt, David C. De Roure, Capturing Interest through Inference and Visualization: Ontological User Profiling in Recommender Systems, Proceedings of the 2nd International Conference on Knowledge Capture, October 23-25, 2003, Sanibel Island, FL, USA doi:10.1145/945645.945657
- 16. Susan Dumais, Thorsten Joachims, Krishna Bharat, Andreas Weigend, SIGIR 2003 Workshop Report: Implicit Measures of User Interests and Preferences, ACM SIGIR Forum, v.37 n.2, Fall 2003 doi:10.1145/959258.959266
- 17. Porter, M.: An Algorithm for Suffix Stripping. Program 14(3), 130-137 (1980).
- 18. Gerard Salton, Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986
- 19. G. Salton, C. Buckley, On the Use of Spreading Activation Methods in Automatic Information, Proceedings of the 11th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, p.147-160, May 1988, Grenoble, France doi:10.1145/62437.62447
- 20. Harith Alani, Kieron O'Hara, Nigel Shadbolt, ONTOCOPI: Methods and Tools for Identifying Communities of Practice, Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing, p.225-236, August 25-30, 2002
- 21. Cristiano Rocha, Daniel Schwabe, Marcus Poggi Aragao, A Hybrid Approach for Searching in the Semantic Web, Proceedings of the 13th International Conference on World Wide Web, May 17-20, 2004, New York, NY, USA doi:10.1145/988672.988723
- 22. Sieg, A., Mobasher, B., Lytinen, S., Burke, R.: Using Concept Hierarchies to Enhance User Queries in Web-based Information Retrieval. In: Proceedings of the International Conference on Artificial Intelligence and Applications, IASTED 2004, Innsbruck, Austria (February 2004).
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2007 RepresentingContextinWebSearchw | Ahu Sieg Bamshad Mobasher Robin Burke | Representing Context in Web Search with Ontological User Profiles | 2007 |