In information filtering (IF) systems, user long-term needs are expressed as user profiles. The quality of a user profile has a major impact on the performance of IF systems. The focus of the proposed research is on the study of user profile generation and update. The paper introduces methods for user profile generation, and proposes a research agenda for their comparison and evaluation.
|Number of pages||3|
|Journal||ACM SIGIR Forum|
|State||Published - 11 Dec 2000|
|Event||Proceedings of the 23rd International ACM SIGIR Conference on Research and Development in Infornation Retrieval (SIGIR 2000) - Athens, Greece|
Duration: 24 Jul 2000 → 28 Jul 2000