Belief revision for adaptive recommender agents in E-commerce

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)99-103
Journal / PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2690
Publication statusPublished - 2004
Externally publishedYes

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.