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)

Abstract

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
PublisherSpringer Verlag
Pages136-140
Number of pages5
ISBN (Print)3540427309, 9783540427308
Publication statusPublished - 2001 Jan 1
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)
Volume2198
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st Asia-Pacific Conference on Web Intelligence, WI 2001
CountryJapan
CityMaebashi City
Period01/10/2301/10/26

Fingerprint

Recommender Systems
Recommender systems
User Preferences
Feedback
Rank order
Model
Ranking
Evaluation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, D. E., & Kim, S. W. (2001). Dynamic expert group models for recommender systems. In Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings (pp. 136-140). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2198). Springer Verlag.
Kim, Dae Eun ; Kim, Sea Woo. / Dynamic expert group models for recommender systems. Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. Springer Verlag, 2001. pp. 136-140 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Kim, DE & Kim, SW 2001, Dynamic expert group models for recommender systems. in Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2198, Springer Verlag, pp. 136-140, 1st Asia-Pacific Conference on Web Intelligence, WI 2001, Maebashi City, Japan, 01/10/23.

Dynamic expert group models for recommender systems. / Kim, Dae Eun; Kim, Sea Woo.

Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. Springer Verlag, 2001. p. 136-140 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2198).

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

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Kim DE, Kim SW. Dynamic expert group models for recommender systems. In Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings. Springer Verlag. 2001. p. 136-140. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).