Wavelet-based collaborative filtering for adapting changes in user behavior

Cheon Hyeonjae, Hong Chul Lee, Um Insup

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

Abstract

Recommendation systems help users find the information, products and services they most want to find. Collaborative filtering is the method of making automatic predictions about the interest of a user by collecting interest information from many users, which has been very successful recommendation technique for recommendation systems in both research and practice. However, the traditional collaborative filtering is slow to detect the interest of a user changing with time as a case of user behavior and to adapt the changes, because the traditional collaborative filtering uses Pearson's correlation coefficient between users with the numerous values of property. In this paper, we apply the wavelet analysis to collaborative filtering in order to reveal the trends hidden in the interest of a user and propose the wavelet-based collaborative filtering for adapting changes in user behavior. The results of the performance evaluation show that the proposed wavelet-based collaborative filtering makes the improvement in the personalized recommendations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages470-473
Number of pages4
Volume4312 LNCS
Publication statusPublished - 2006 Dec 1
Event9th International Conference on Asian Digital Libraries, ICADL 2006 - Kyoto, Japan
Duration: 2006 Nov 272006 Nov 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4312 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Asian Digital Libraries, ICADL 2006
CountryJapan
CityKyoto
Period06/11/2706/11/30

Fingerprint

Wavelet Analysis
Collaborative filtering
Information Services
Collaborative Filtering
User Behavior
Wavelets
Research
Recommendation System
Recommender systems
Personalized Recommendation
Pearson Correlation
Wavelet analysis
Correlation coefficient
Performance Evaluation
Recommendations
Prediction

Keywords

  • Collaborative filtering
  • Recommendation system
  • User behavior
  • Wavelet analysis

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hyeonjae, C., Lee, H. C., & Insup, U. (2006). Wavelet-based collaborative filtering for adapting changes in user behavior. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4312 LNCS, pp. 470-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4312 LNCS).

Wavelet-based collaborative filtering for adapting changes in user behavior. / Hyeonjae, Cheon; Lee, Hong Chul; Insup, Um.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4312 LNCS 2006. p. 470-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4312 LNCS).

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

Hyeonjae, C, Lee, HC & Insup, U 2006, Wavelet-based collaborative filtering for adapting changes in user behavior. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4312 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4312 LNCS, pp. 470-473, 9th International Conference on Asian Digital Libraries, ICADL 2006, Kyoto, Japan, 06/11/27.
Hyeonjae C, Lee HC, Insup U. Wavelet-based collaborative filtering for adapting changes in user behavior. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4312 LNCS. 2006. p. 470-473. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Hyeonjae, Cheon ; Lee, Hong Chul ; Insup, Um. / Wavelet-based collaborative filtering for adapting changes in user behavior. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4312 LNCS 2006. pp. 470-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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