A Web-based collaborative filtering system

被引：0
|
作者：
Lee, DS
Kim, GY
Choi, H
机构：
[1] Soongsil Univ, Sch Media, DongJak Gu, Seoul 156743, South Korea
[2] Soongsil Univ, Sch Comp, DongJak Gu, Seoul 156743, South Korea
来源：
PATTERN RECOGNITION | 2003年 / 36卷 / 02期
关键词：
collaborative filtering; Information retrieval; fuzzy associative memory (FAM); interface agent;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we describe a collaborative filtering system for automatically recommending high-quality information to users with similar interests on arbitrarily narrow information domains. It asks a user to rate a gauge set of items. It then evaluates the user's rates and suggests a recommendation set of items. We interpret the process of evaluation as an inference mechanism that maps a gauge set to a recommendation set. We accomplish the mapping with fuzzy associative memory, We implemented the suggested system in a Web server and tested its performance in the domain of retrieval of technical papers, especially in the field of information technologies. The experimental results show that it may provide reliable recommendations. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：519 / 526
页数：8
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