User profiles and fuzzy logic for web retrieval issues

被引：8

作者：

M. J. Martín-Bautista

D. H. Kraft

M. A. Vila

J. Chen

J. Cruz

机构：

[1] Department of Computer Science and Artificial Intelligence,

[2] Granada University,undefined

[3] C/Periodista Daniel Saucedo s/n,undefined

[4] Granada,undefined

[5] 18071,undefined

[6] Spain e-mail: mbautis@decsai.ugr.es,undefined

[7] Department of Computer Science,undefined

[8] Louisiana State University,undefined

[9] Baton Rouge,undefined

[10] LA 70803-4020,undefined

[11] USA,undefined

[12] Puleva Salud Inc.,undefined

[13] Camino de Purchil 66,undefined

[14] 18004,undefined

[15] Granada,undefined

[16] Spain,undefined

来源：

Soft Computing | 2002年 / 6卷 / 5期

关键词：

Keywords User profile, Web mining, Fuzzy logic, Fuzzy clustering, Soft computing, Information retrieval;

D O I：

10.1007/s00500-002-0190-x

中图分类号：

学科分类号：

摘要：

We present a study of the role of user profiles using fuzzy logic in web retrieval processes. Flexibility for user interaction and for adaptation in profile construction becomes an important issue. We focus our study on user profiles, including creation, modification, storage, clustering and interpretation. We also consider the role of fuzzy logic and other soft computing techniques to improve user profiles. Extended profiles contain additional information related to the user that can be used to personalize and customize the retrieval process as well as the web site. Web mining processes can be carried out by means of fuzzy clustering of these extended profiles and fuzzy rule construction. Fuzzy inference can be used in order to modify queries and extract knowledge from profiles with marketing purposes within a web framework. An architecture of a portal that could support web mining technology is also presented.

引用

页码：365 / 372

页数：7