Opinion leader based filtering

Hyeonjae Cheon, Hongchul Lee

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

4 Citations (Scopus)

Abstract

Recommendation systems are helping users find the information, products, and other people they most want to find, therefore many on-line stores provide recommending services e.g. Amazon, CDNOW, etc. Most recommendation systems use collaborative filtering, content-based filtering, and hybrid techniques to predict user preferences. We discuss the strengths and weaknesses of the techniques and present a unique recommendation system that automatically selects opinion leaders by category or genre to improve the performance of recommendation. Finally, our approach will help to solve the cold-start problem in collaborative filtering.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationImplementing Strategies and Sharing Experiences - 8th International Conference on Asian Digital Libraries, ICADL 2005, Proceedings
Pages352-359
Number of pages8
DOIs
Publication statusPublished - 2005
Event8th International Conference on Asian Digital Libraries, ICADL 2005 - Bangkok, Thailand
Duration: 2005 Dec 122005 Dec 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3815 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Asian Digital Libraries, ICADL 2005
Country/TerritoryThailand
CityBangkok
Period05/12/1205/12/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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