A retrieval model for personalized searching relying on content-based user profiles

AAAI Workshop - Technical Report

Volumn WS-08-06, Issue , 2008, Pages 1-9

  De Gemmis, Marco ^a   Semeraro, Giovanni ^a   Lops, Pasquale ^a   Basile, Pierpaolo ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT-BASED; CONTENT-BASED USER PROFILES; INFORMATION ACCESS; INFORMATION NEED; KEYWORD SEARCH; RANKING FUNCTIONS; RECOMMENDER SYSTEMS; RETRIEVAL MODELS; SEARCH PROCESS; SEARCH RESULTS; USER INTERESTS; USER PROFILE; USER QUERY; VECTOR-SPACE RETRIEVAL MODELS;

IMAGE RETRIEVAL; INFORMATION SERVICES; NATURAL LANGUAGE PROCESSING SYSTEMS; SEARCH ENGINES;

INFORMATION RETRIEVAL SYSTEMS;

EID: 66149188264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. Agichtein, E.; Brill, E.; and Dumais, S. T. 2006. Improving web search ranking by incorporating user behavior information. In Efthimiadis, E. N.; Dumais, S. T.; Hawking, D.; and Järvelin, K., eds., Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA, 19-26. ACM Press.
2. Baeza-Yates, R., and Ribeiro-Neto, B. 1999. Modern Information Retrieval. Addison-Wesley.
3. Basile, R.; de Gemmis, M.; Gentile, A.; Lops, R.; and Se-meraro, G. 2007a. JIGSAW algorithm for word sense disambiguation. In SemEval-2007: 4th Int. Workshop on Semantic Evaluations, 398-401. ACL press.
4. Basile, P.; Degemmis, M.; Gentile, A. L.; Lops, R.; and Se-meraro, G. 2007b. The JIGSAW algorithm for word sense disambiguation and semantic indexing of documents. In Basili, R., and Pazienza, M. T., eds., AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 10-13, 2007, Proceedings, volume 4733 of Lecture Notes in Computer Science, 314-325. Springer.
5. Basile, P.; Caputo, A.; Gentile, A.; de Gemmis, M.; Lops, P.; and Semeraro, G. 2008. Enhancing semantic search using n-levels document representation. In Proceedings of the ESWC 2008 Workshop on Semantic Search (SemSearch 2008). To appear.
6. Belkin, N., and Croft, B. 1992. Information filtering and information retrieval. Communications of the ACM 35(12):29-37.
7. Bollacker, K. D.; Lawrence, S.; and Giles, C. L. 1999. A system for automatic personalized tracking of scientific literature on the web. In Proceedings of the Fourth ACM conference on Digital Libraries, 105-113. ACM Press.
8. Chen, L., and Sycara, K. P. 1998. Webmate: A personal agent for browsing and searching. In Proceedings of the Second International Conference on Autonomous Agents, 132-139. ACM Press.
9. Chung, W. May 2008. Web searching in a multilingual world. Communications of the ACM 51(5):32-40.
10. Corley, C., and Mihalcea, R. 2005. Measures of text semantic similarity. In Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence, 13-18.
11. Degemmis, M.; Lops, P.; Ferilli, S.; Di Mauro, N.; Basile, T.; and Semeraro, G. 2006. Text learning for user profiling in e-commerce. International Journal of Systems Science 37(13):905-918.
12. Degemmis, M.; Lops, P.; and Semeraro, G. 2007. A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI) 17(3):217-255.
13. 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 Symposium on Applications and the Internet (SAINT), 23-32.
14. Gonzalo, J.; Verdejo, F.; Chugur, I.; and Cigarrán, J. M. 1998. Indexing with wordnet synsets can improve text retrieval. In Proceedings of the COLING/ACL Workshop on Usage of WordNet for NLP, 38-44.
15. Hanani, U.; Shapira, B.; and Shoval, P. 2001. Information filtering: Overview of issues, research and systems. User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI) 11(3):203-259.
16. Joachims, T., and Radlinski, F. 2007. Search engines that learn from implicit feedback. IEEE Computer 40(8):34-40.
17. Joachims, T.; Granka, L. A.; Pan, B.; Hembrooke, H.; Radlinski, F.; and Gay, G. 2007. Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search. ACM Transactions on Information Systems 25(2): article 7.
18. Joachims, T.; Freitag, D.; and Mitchell, T. 1997. Web watcher: A tour guide for the world wide web. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97, 770-777. Morgan Kauf-mann.
19. Leacock, C.; Chodorow, M.; and Miller, G. 1998. Using corpus statistics and WordNet relations for sense identification. Computational Linguistics 24(1):147-165.
20. Liu, F.; Yu, C. T.; and Meng, W. 2004. Personalized web search for improving retrieval effectiveness. IEEE Transactions on Knowledge and Data Engineering 16(1):28-40.
21. Manning, C., and Schütze, H. 1999. Foundations of Statistical Natural Language Processing. MIT Press, chapter 7: Word Sense Disambiguation, 229-264.
22. Miller, G. A. 1995. WordNet: a lexical database for English. Communications of the ACM 38(11):39-41.
23. Mladenic, D. 1999. Text-learning and related intelligent agents: a survey. IEEE Intelligent Systems 14(4):44-54.
24. Mooney, R. J., and Roy, L. 2000. Content-based book recommending using learning for text categorization. In Proceedings of the 5th ACM Conference on Digital Libraries, 195-204. ACM Press.
25. Pazzani, M., and Billsus, D. 1997. Learning and revising user profiles: The identification of interesting web sites. Machine Learning 27(3):313-331.
26. Qiu, F., and Cho, J. 2006. Automatic identification of user interest for personalized search. In Carr, L.; Roure, D. D.; Iyengar, A.; Goble, C. A.; and Dahlin, M., eds., Proceedings of the 15th International Conference on World Wide Web (WWW), 727-736.
27. Sebastiani, E 2002. Machine learning in automated text categorization. ACM Computing Surveys 34(1): 1-47.
28. Semeraro, G.; Degemmis, M.; Lops, P.; and Basile, P. 2007. Combining learning and word sense disambiguation for intelligent user profiling. In Proceedings of the 20th International Joint Conference on Artificial Intelligence IJCAI-07, 2856-2861.
29. Semeraro, G. 2007. Personalized searching by learning wordnet-based user profiles. Journal of Digital Information Management 5(5):309-322.
30. Sieg, A.; Mobasher, B.; Lytinen, S. L.; and Burke, R. D. 2003. Concept based query enhancement in the ARCH search agent. In Arabnia, H. R., and Mun, Y., eds., International Conference on Internet Computing, 613-619. CSREA Press.
31. Smeaton, A. E., and Quigley, I. 1996. Experiments on using semantic distances between words in image caption retrieval. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, 174-180. ACM Press.
32. Teevan, J.; Dumais, S. T.; and Horvitz, E. 2005. Personalizing search via automated analysis of interests and activities. In Baeza-Yates, R. A.; Ziviani, N.; Marchionini, G.; Moffat, A.; and Tait, J., eds., Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 449-456. ACM Press.
33. Teevan, J.; Dumais, S. T.; and Horvitz, E. 2007. Characterizing the value of personalizing search. In Kraaij, W.; de Vries, A. P.; Clarke, C. L. A.; Fuhr, N.; and Kando, N., eds., Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 757-758. ACM Press.
34. Witten, I., and Bell, T. The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression. IEEE Transactions on Information Theory 37(4): 1085-1094.
35. Yao, Y. Y 1995. Measuring retrieval effectiveness based on user preference of documents. Journal of the American Society for Information Science 46(2): 133-145.