Generation of user profiles for information filtering — research agenda (poster session)

Authors:
Tsvi Kuflik;Peretz Shoval
Affiliations:
Information Systems Program, Department of Industrial Engineering & Management, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel;Information Systems Program, Department of Industrial Engineering & Management, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
Venue:
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2000

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Abstract

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.