Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web

被引:77
作者
Herrera-Viedma, E [1 ]
Herrera, F
Martínez, L
Herrera, JC
López, AG
机构
[1] Univ Granada, Lib Sci Studies Sch, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
[2] Univ Jaen, Dept Comp Sci, Jaen 23071, Spain
关键词
web; information retrieval; intelligent agents; filtering; fuzzy linguistic modelling;
D O I
10.1016/j.fss.2004.03.006
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In (Computing with Words, Wiley, New York, 2001, p. 251; Soft Comput. 6 (2002) 320; Fuzzy Logic and The Internet, Physica-Verlag, Springer, Wurzburg, Berlin, 2003) we presented different fuzzy linguistic multi-agent models for helping users in their information gathering processes on the Web. In this paper we describe a new fuzzy linguistic multi-agent model that incorporates two information filtering techniques in its structure: a content-based filtering agent and a collaborative filtering agent. Both elements are introduced to increase the information filtering possibilities of multi-agent system on the Web and, in such a way, to improve its retrieval issues. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:61 / 83
页数:23
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