Generation of user profiles for information filtering — research agenda (poster session)
Tsvi Kuflik, Peretz Shoval · 2000
In information filtering (IF) systems, user long-term needs we 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.