Generation of user profiles for information filtering - research agenda

Tsvi Kuflik, Peretz Shoval

Research output: Contribution to journalConference articlepeer-review

21 Scopus citations

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.

Original languageEnglish
Pages (from-to)313-315
Number of pages3
JournalACM SIGIR Forum
StatePublished - 11 Dec 2000
EventProceedings of the 23rd International ACM SIGIR Conference on Research and Development in Infornation Retrieval (SIGIR 2000) - Athens, Greece
Duration: 24 Jul 200028 Jul 2000

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