Belief revision for adaptive recommender agents in E-commerce

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning
Subtitle of host publication4th International Conference, IDEAL 2003 Hong Kong, China, March 21–23, 2003 Revised Papers
EditorsJiming Liu, Yiu-ming Cheung, Hujun Yin
PublisherSpringer 
Pages99-103
ISBN (electronic)978-3-540-45080-1
ISBN (print)978-3-540-40550-4
Publication statusPublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
Volume2690
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

Recommender systems are a well-known technology for E-commerce. This paper illustrates a novel recommender agent model which combines the inductive power brought by text mining methods with the non-monotonic reasoning capability offered by a belief revision system to improve the agents' prediction effectiveness, learning autonomy, and explanatory capabilities. © Springer-Verlag 2003.

Citation Format(s)

Belief revision for adaptive recommender agents in E-commerce. / Lau, Raymond Y. K.
Intelligent Data Engineering and Automated Learning: 4th International Conference, IDEAL 2003 Hong Kong, China, March 21–23, 2003 Revised Papers. ed. / Jiming Liu; Yiu-ming Cheung; Hujun Yin. Springer , 2004. p. 99-103 (Lecture Notes in Computer Science; Vol. 2690).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review