An Agent-Based Recommender System to Support Collaborative Web Search Based on Shared User Interests
Personal information agents emerged in the last decade as an alternative to assist users to cope with the increasing volume of information available on the Web. In order to provide personalized assistance, these agents rely on user profiles modeling user information preferences, interests and habits. Inserted in communities of people with similar interests, personal agents can improve their assistance by gathering knowledge extracted from the observed common behaviors of single users. In this paper we propose an agent-based recommender system for supporting collaborative Web search in groups of users with partial similarity of interests. Empirical evaluation demonstrates that the interaction among personal agents increases the performance of the overall recommender system.
KeywordsRecommender System Personal Agent Target User Semantic Concept User Interest
Unable to display preview. Download preview PDF.
- 9.Somlo, G., Howe, A.E.: QueryTracker: An agent for tracking persistent information needs. In: AAMAS 2004. Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 488–495. IEEE Computer Society, Los Alamitos (2004)Google Scholar
- 10.Turner, R.M., Turner, E.H., Wagner, T.A., Wheeler, T.J., Ogle, N.E.: Using explicit, a priori contextual knowledge in an intelligent Web search agent. In: Akman, V., Bouquet, P., Thomason, R.H., Young, R.A. (eds.) CONTEXT 2001. LNCS (LNAI), vol. 2116, pp. 343–352. Springer, Heidelberg (2001)CrossRefGoogle Scholar
- 12.Yu, B., Singh, P.: An agent-based approach to knowledge management. In: CIKM 2002. Proceedings of the 11th International Conference on Information and Knowledge Management, pp. 642–644 (2002)Google Scholar