Dynamic expert group models for recommender systems

Dae Eun Kim, Sea Woo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Recently many recommender systems have been developed to recommend items in online commerce markets, based on user preferences for a particular user, but they have difficulty in deriving user preferences for users who have not rated many documents. In this paper we use dynamic expert-group models to recommend domain-specific items or documents for unspecified users, while users give feedbacks of relative ratings over the recommended items or documents. In this system, the group members have dynamic authority weights depending on their performance of the ranking evaluations. We have tested two effectiveness measures on rank order to determine if the current top-ranked lists recommended by experts are reliable.

Original languageEnglish
Title of host publicationWeb Intelligence
Subtitle of host publicationResearch and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings
EditorsNing Zhong, Yiju Yao, Jiming Liu, Setsuo Ohsuga
PublisherSpringer Verlag
Number of pages5
ISBN (Print)3540427309, 9783540427308
Publication statusPublished - 2001
Event1st Asia-Pacific Conference on Web Intelligence, WI 2001 - Maebashi City, Japan
Duration: 2001 Oct 232001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st Asia-Pacific Conference on Web Intelligence, WI 2001
CityMaebashi City

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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