Abstract
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.
Cite
CITATION STYLE
APA
Kuflik, T., & Shoval, P. (2000). Generation of user profiles for information filtering - research agenda. SIGIR Forum (ACM Special Interest Group on Information Retrieval), 313–315.
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