Personalisation of web search

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3169 LNAI, Issue , 2005, Pages 201-228

  Keenoy, Kevin ^a   Levene, Mark ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

KEYWORDS; PERSONALISED RANKING; SEARCH PORTALS; WEB SEARCH;

CLIENT SERVER COMPUTER SYSTEMS; INFORMATION RETRIEVAL; INFORMATION THEORY; PORTALS; USER INTERFACES; WORLD WIDE WEB;

ONLINE SEARCHING;

EID: 33645663799     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11577935_11     Document Type: Conference Paper

References (71)

1. A. Andersson, N.J. Larsson, and K. Swanson. Suffix trees on words. Algorithmica, 23:246-260, 1999.
2. R. Armstrong, D. Freitag, T. Joachims, and T. Mitchell. WebWatcher: A learning apprentice for the World Wide Web. In AAAI Spring Symposium on Information Gathering, Stanford, CA, March 1995.
3. K. G. August, M. H. Hansen, and E. Shriver. Mobile web searching. Bell Labs Technical Journal, 6(2):84-98, 2002.
4. R.A. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. ACM Press and Addison-Wesley, Reading, Ma., 1999.
5. Marko Balabanović. An adaptive web page recommendation service. In Proceedings of the First International Conference on Autonomous Agents, pages 378-385. ACM Press, 1997.
6. R.K. Belew. Finding Out About. Cambridge University Press, Cambridge, UK, 2000.
7. D. Billsus and M. J. Pazzani. User modeling for adaptive news access. User Modeling and User-Adapted Interaction, 10:147-180, 2000.
8. A. Borodin, G. O. Roberts, J. S. Rosenthal, and P. Tsaparas. Finding authorities and hubs from link structures on the world wide web. In World Wide Web, pages 415-429, 2001.
9. S. Brin and L. Page. The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30(1-7):107-117, 1998.
10. R. Carreira, J. M. Crato, D. Gonçalves, and J. Jorge. Evaluating adaptive user profiles for news classification. In Proceedings of the 9th International Conference on Intelligent User Interface, pages 206-212, Madeira, Funchal, Portugal, January 2004. ACM Press.
11. L. Chen and K. Sycara. WebMate: A personal agent for browsing and searching. In Katia P. Sycara and Michael Wooldridge, editors, Proceedings of the 2nd International Conference on Autonomous Agents (Agents'98), pages 132-139, New York, 1998. ACM Press.
12. Z. Chen and X. Meng. MARS: Applying multiplicative adaptive user preference retrieval to web search. In Proceedings of the International Conference on Internet Computing 2002 (IC2002), pages 643-648, Las Vegas, Nevada, USA, 2002.
13. Z. Chen and B. Zhu. Some formal analysis of Rocchio's similarity-based relvance feedback algorithm. In International Symposium on Algorithms and Computation, pages 108-119, 2000.
14. P. Chirita, D. Olmedilla, and W. Nejdl. PROS: a personalized ranking platform for web search. In Proceedings of the 3rd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Eindhoven, Netherlands, August 2004.
15. H. Gui, J. Wen, Jian-Yun Nie, and Wei-Ying Ma. Query expansion by mining user logs. IEEE Transactions on Knowledge and Data Engineering, 15(4), July/August 2003.
16. Direct Hit. Popularity-based search, http://www.directhit.com/.
17. P. Edwards, M. Steele, S. E. Clare, and D. M. Johns. Exploiting a web cache for user recommendations. In Proceedings of Agents 2000 Workshop on Agent-Based Recommender Systems (WARS-2000), 2000.
18. Eurekster. www.eurekster.com, 2004.
19. Findory.com. Personalized news, http://www.findory.com, 2004.
20. G. Flake, E. Glover, S. Lawrence, and G. L. Giles. Extracting query modifications from nonlinear SVMs. In International World Wide Web Conference, pages 317-324, Honolulu, Hawaii, May 7-11 2002.
21. G. W. Flake, S. Lawrence, C. L. Giles, and F. Coetzee. Self-organization of the web and identification of communities. IEEE Computer, 35(3):66-71, 2002.
22. J. Freyne, B. Smyth, M. Coyle, E. Balfe, and P. Briggs. Further experiments on collaborative ranking in community-based web search. Artificial Intelligence Review, 2004. To appear.
23. D. Gibson, J. Kleinberg, and P. Raghavan. Inferring web communities from link topology. In Proceedings of the Ninth ACM Conference on Hypertext and Hypermedia: Links, Objects, Time and Space - Structure in Hypermedia Systems, pages 225-234. ACM Press, 1998.
24. E. J. Glover, S. Lawrence, M. D. Gordon, W. P. Birmingham, and C. L. Giles. Web search-your way. Communications of the ACM, 44(12):97-102, 2001.
25. Google Directory. The web organized by topic into categories, http://directory.google.com/.
26. Google Labs. Google personalized (beta), http://labs.google. com/personalized.
27. Google Local (beta). Find local businesses and services on the web. http://local.google.com.
28. D. Harman. Relevance feedback revisited. In Proceedings of SIGIR92, the 15th ACM International Conference on Research and Development in Information Retrieval, pages 1-10, 1992.
29. T. H. Haveliwala. Topic-sensitive PageRank. In Proceedings of the Eleventh International World Wide Web Conference (WWW2002), Honolulu, Hawaii, May 2002.
30. G. Jeh and J. Widom. Scaling personalized web search. In Proc. WWW 2003, Budapest, Hungary, May 20-24 2002.
31. A. Jennings and H. Higuchi. A personal news service based on a user model neural network. IEICE Transactions on Information and Systems, 75(2):198-209, March 1992.
32. T. Joachims. A probabilistic analysis of the Rocchio algorithm with TF-IDF for text categorization. In International Conference on Machine Learning, pages 143-151, 1997.
33. T. Joachims, D. Freitag, and T. M. Mitchell. WebWatcher: A tour guide for the World Wide Web. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 770-777. Morgan Kaufmann publishers Inc.: San Mateo, CA, USA, 1997.
34. D. Kelly and J. Teevan. Implicit feedback for inferring user preference: A bibliography. SIGIR Forum, 37(2):18-28, 2003.
35. Y. Khopkar, A. Spink, C. L. Giles, P. Shah, and S. Debnath. Search engine personalization: An exploratory study. First Monday, 8(7), July 2003. See http://www.firstmonday.org/issues/issue8_7/khopkar/.
36. M. W. Kim, E. J. Kim, and J. W. Ryu. A collaborative recommendation based on neural networks. In Y. Lee et al., editor, Database Systems for Advanced Applications: 9th International Conference, DASFAA 2004, volume 2973 of LNCS, pages 425-430. Springer-Verlag, 2004.
37. J. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604-632, 1999.
38. A. Kritikopoulos and M. Sideri. The Compass Filter: Search engine result personalisation using web communities. In Proceedings of the Workshop on Intelligent Techniques for Web Personalization (ITWP '03), Acapulco, Mexico, August 9-15 2003.
39. S. Kumar, L. Ertöz, S. Singhal, B. U. Oztekin, E. Han, and V. Kumar. Personalized profile based search interface with ranked and clustered display. Technical report, University of Minnesota, Department of Computer Science, 2001. https://wwws.cs.umn.edu/tech-reports/listing/tr2001/01-023.pdf.
40. S. Lawrence. Context in web search. IEEE Data Engineering Bulletin, 23(3):25-32, 2000.
41. H. Lieberman. Letizia: An agent that assists web browsing. In Chris S. Mellish, editor, Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95), pages 924-929, Montreal, Quebec, Canada, 1995. Morgan Kaufmann publishers Inc.: San Mateo, CA, USA.
42. H. Lieberman and T. Selker. Out of context: Computer systems that adapt to, and learn from, context. IBM Systems Journal, 39, 2000.
43. F. Liu, C. Yu, and W. Meng. Personalized web search for improving retrieval effectiveness. IEEE Transactions on Knowledge and Data Engineering, 16(1), January 2004.
44. J. Liu, C. K. Wong, and K. K. Hui. An adaptive user interface based on personalized learning. IEEE Intelligent Systems, 18(2):52-57, March/April 2003.
45. Lycos, Inc. HotBot. http://www.hotbot.com.
46. U. Manber, A. Patel, and J. Robison. Experience with personalization on Yahoo! Communications of the ACM, 43(8):35-39, August 2000.
47. X. Meng, Z. Chen, and A. Spink. A multiplicative gradient descent search algorithm fo user preference retrieval and its application to web search. In Proceedings of the International Conference on Information Technology: Computers and Communications, Las Vegas, Nevada, April 28-30 2003.
48. MSN. Newsbot (beta), http://uk.newsbot.msn.com, 2004.
49. Netscape. Open Directory Project, http://dmoz.org.
50. D. M. Nichols. Implicit ratings and filtering. In Proceedings of the 5th DELOS Workshop on Filtering and Collaborative Filtering, pages 31-36, Hungary, 1997.
51. M. J. Pazzani, J. Muramatsu, and D. Billsus. Syskill & Webert: Identifying interesting web sites. In AAAI/IAAI, Vol. 1, pages 54-61, 1996.
52. J. E. Pitkow, H. Schtze, T. A. Cass, R Cooley, D. Turnbull, A. Edmonds, E. Adar, and T. M. Breuel. Personalized search. Communications of the ACM, 45(9):50-55, September 2002.
53. A. Pretschner and S. Gauch. Ontology based personalized search. In Proceedings of the 11th International Conference on Tools with Artificial Intelligence (ICTAI), pages 391-398, Chicago, November 1999.
54. B. Smyth R. Rafter, K. Bradley. Automated collaborative filtering applications for online recruitment services. In AH 2000, pages 363-368, 2000.
55. M. Richardson and P. Domingos. The Intelligent Surfer: Probabilistic combination of link and content information in PageRank. In Advances in Neural Information Processing Systems 14. MIT Press, 2002.
56. J.J. Rocchio. Relevance feedback in information retrieval. In G. Salton, editor, The SMART Retrieval System - Experiments in Automatic Document Processing, pages 313-323. Prentice-Hall, Englewood Cliffs, NJ, 1971.
57. G. Salton, editor. The SMART Retrieval System - Experiments in Automatic Document Processing. Prentice Hall, Englewood Cliffs, NJ, 1971.
58. U. Shardanand and P. Maes. Social information filtering: Algorithms for automating "word of mouth". In Proceedings of the CHI'95 Conference on Human Factors in Computing Systems, pages 210-217, New York, 1995. ACM Press.
59. D. Sullivan. Eurekster launches personalized social search. SearchEngineWatch, January 21 2004. See http://searchenginewatch.com/searchday/article.php/3301481.
60. A. V. Sunderam. Automated personalisation of internet news. In P. De Bra, P. Brusilovsky, and R. Conejo, editors, Proceedings of Adaptive Hypertext 2002 (AH2002), volume 2347 of LNCS, pages 348-357. Springer-Verlag, 2002.
61. Topix.net. Pick your Topix, get the news, http://www.topix.net/.
62. Vivísimo Inc. Vivísimo clustering engine, http://vivisimo.com.
63. D. S. Weld, C. Anderson, P. Domingos, O. Etzioni, K. Gajos, T. Lau, and S. Wolfman. Automatically personalizing user interfaces. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI03), Acapulco, Mexico, August 2003.
64. R. W. White, J. M. Jose, and I. Ruthven. Using top-ranking sentences for web search result presentation. In Poster Proceedings of the 12th International World Wide Web Conference (WWW 2003), Budapest, Hungary, May 20-24 2003.
65. R. W. White, I. Ruthven, and J. M. Jose. The use of implicit evidence for relevance feedback in web retrieval. In 24th BCS-IRSG European Colloqium on IR Research (ECIR 2002), Glasgow, Scotland, UK, March 25-27 2002. Springer.
66. S.K.M. Wong, Y.Y. Yao, G. Salton, and C. Buckley. Evaluation of an adaptive linear model. Journal of the American Society for Information Science and Technology, 42:723-730, 1991.
67. W. Xi, B. Zhang, Z. Chen, Y. Lu, S. Yan, W.Y. Ma, and E.A. Fox. Link Fusion: A unified link analysis framework for multi-type inter-related data objects. In Proceedings of the Thirteenth International World Wide Web Conference (WWW2004), New York, U.S.A., 19-22 May 2004.
68. Yahoo! Inc. Yahoo! http://www.yahoo.com.
69. Yahoo! Inc. Yahoo! Local, http://local.yahoo.com/.
70. O. Zamir and O. Etzioni. Grouper: A dynamic clustering interface to Web search results. Computer Networks (Amsterdam, Netherlands: 1999), 31(11-16):1361-1374, 1999.
71. T. Zhu, R. Greiner, and G. Häubl. An effective complete-web recommender system. In Proceeings of the Twelfth International World Wide Web Conference(WWW2003), Budapest, Hungary, May 20-24 2003.