Relevance and Reinforcement in Interactive Browsing

International Conference on Information and Knowledge Management, Proceedings

Volumn 2000-January, Issue , 2000, Pages 119-126

  Leuski, Anton ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

algorithms; Experimentation; performance

Indexed keywords

INFORMATION RETRIEVAL; SEARCH ENGINES;

DOCUMENTS SIMILARITY; EXPERIMENTATION; FEEDBACK APPROACH; INFORMATION-RETRIEVAL SYSTEMS; INTERACTIVE BROWSING; INTERESTING INFORMATION; NEURAL NETWORK LEARNING; PERFORMANCE; REINFORCEMENT LEARNINGS; RELEVANCE FEEDBACK;

REINFORCEMENT LEARNING;

EID: 0002233377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/354756.354809     Document Type: Conference Paper

References (35)

1. I. J. Aalbersberg. Incremental relevance feedback. In Proceedings of ACM SIGIR, pages 11–22, 1992.
2. J. Allan. Incremental relevance feedback for information filtering. In Proceedings of ACM SIGIR, pages 270–278, 1996.
3. J. Allan, J. Callan, B. Croft, L. Ballesteros, J. Broglio, J. Xu, and H. Shu. Inquery at TREC-5. In Fifth Text REtrieval Conference (TREC-5), pages 119–132, 1997.
4. J. Allan, J. Callan, W. B. Croft, L. Ballesteros, D. Byrd, R. Swan, and J. Xu. Inquery does battle with TREC-6. In Sixth Text REtrieval Conference (TREC-6), pages 169–206, 1998.
5. M. Balabanovic. An adaptive web page recommendation service. In Proceedings of the First International Conference on Autonomous Agents, pages 378–385, 1997.
6. R. K. Belew. Adaptive information retrieval: using a connectionist representation to retrieve and learn about documents. In Proceedings of ACM SIGIR, pages 11–20, 1989.
7. H. Berliner. On the construction of evaluation functions for large domains. In Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979.
8. P. V. Biron and D. H. Kraft. New methods for relevance feedback: improving information retrieval performance. In ACM symposium on Applied computing, pages 482–487, 1995.
9. C. Buckley and G. Salton. Optimization of relevance feedback weights. In Proceedings of ACM SIGIR, pages 351–357, 1995.
10. J. P. Callan. Learning while filtering documents. In Proceedings of ACM SIGIR, pages 224–231, 1998.
11. Y. S. Choi and S. I. Yoo. Multi-agent learning approach to www information retrieval using neural network. In Proceedings of International Conference on Intelligent User Interfaces, pages 23–30, 1999.
12. CMAC. http://www.ece.unh.edu/robots/cmac.htm.
13. D. Harman and E. Voorhees, editors. The Fifth Text REtrieval Conference (TREC-5). NIST, 1997.
14. D. Harman and E. Voorhees, editors. The Sixth Text REtrieval Conference (TREC-6). NIST, 1998.
15. M. A. Hearst and J. O. Pedersen. Reexamining the cluster hypothesis: Scatter/gather on retrieval results. In Proceedings of ACM SIGIR, pages 76–84, Aug. 1996.
16. M. Hemmje, C. Kunkel, and A. Willet. LyberWorld - a visualization user interface supporting fulltext retrieval. In Proceedings of ACM SIGIR, pages 254–259, July 1994.
17. D. A. Hull, J. O. Pedersen, and H. Schütze. Method combination for document filtering. In Proceedings of ACM SIGIR, pages 279–287, 1996.
18. T. Joachims, D. Freitag, and T. Mitchell. Webwatcher: A tour guide for the world wide web. In Proceedings of IJCAI, pages 770–778, 1997.
19. K. L. Kwok. A network approach to probabilistic information retrieval. ACM Transactions on Information Systems, 13(3):324–353, 1995.
20. A. Leuski and J. Allan. Evaluating a visual navigation system for a digital library. International Journal on Digital Libraries, 2000. Forthcoming.
21. A. Leuski and J. Allan. Improving interactive retrieval by combining ranked lists and clustering. In Proceedings of RIAO’2000, pages 665–681, April 2000.
22. A. Leuski and J. Allan. Lighthoise: showing the way to relevant information. In Proceedings of InfoVis’2000, October 2000.
23. D. D. Lewis, R. E. Schapire, J. P. Callan, and R. Papka. Training algorithms for linear text classifiers. In Proceedings of ACM SIGIR, pages 298–306, 1996.
24. F. Menczer and R. K. Belew. Adaptive information agents in distributed textual environments. In Proceedings of the second international conference on Autonomous agents, pages 157–164, 1998.
25. H. T. Ng, W. B. Goh, and K. L. Low. Feature selection, perception learning, and a usability case study for text categorization. In Proceedings of ACM SIGIR, pages 67 – 73, 1997.
26. S. E. Robertson, S. Walker, S. Jones, M. M. Hancock-Beaulieu, and M. Gatford. Okapi at TREC-3. In D. Harman and E. Voorhees, editors, Third Text REtrieval Conference (TREC-3). NIST, 1995.
27. J. J. Rocchio, Jr. Relevance feedback in information retrieval. In G. Salton, editor, The SMART Retrieval System: Experiments in Automatic Document Processing, pages 313–323. Prentice-Hall, Inc., 1971.
28. G. Salton. Automatic Text Processing. Addison-Wesley, 1989.
29. G. Salton and C. Buckley. Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41:288–297, 1990.
30. R. E. Schapire, Y. Singer, and A. Singhal. Boosting and rocchio applied to text filtering. In Proceedings of ACM SIGIR, pages 215–223, 1998.
31. H. Schütze, D. A. Hull, and J. O. Pedersen. A comparison of classifiers and document representations for the routing problem. In Proceedings of ACM SIGIR, pages 229–237, 1995.
32. J. Shavlik, S. Calcari, T. Eliassi-Rad, and J. Solock. An instructable, adaptive interface for discovering and monitoring information on the world-wide web. In Proceedings of the 1999 international conference on Intelligent user interfaces, pages 157–160, 1999.
33. R. S. Sutton and A. G. Barto. Reinforcement learning: an introduction. The MIT Press, 1998.
34. R. Wilkinson and P. Hingston. Using the cosine measure in a neural network for document retrieval. In Proceedings of ACM SIGIR, pages 202–210, 1991.
35. J. Xu and W. B. Croft. Querying expansion using local and global document analysis. In Proceedings of ACM SIGIR, pages 4–11, 1996.