A formal model of information retrieval based on user sensitivities

被引：2

作者：

Adda, Mehdi ^{[1
]}

机构：

[1] Univ Quebec Rimouski UQAR, Math Comp Sci & Engn Dept, Quebec City, PQ, Canada

来源：

4TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2013), THE 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2013) | 2013年 / 19卷

关键词：

Web; Search Engines; Information Retrieval; User sensitivities; WEB SEARCH;

D O I：

10.1016/j.procs.2013.06.058

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Search engines are a very important web applications used by millions of users around the world on a (lady basis to search the Web. Finding relevant information in this growing space is challenging, and is complicated by the diversity and needs of the community of Web users. Indeed, the Web is one, but the needs of users are multiple and different. Thus, information relevancy is not only related to the formulated query, but also to the user who is formulating this query. For example, user sensitivities may enhance information relevancy. In this paper, we are proposing to derive a formal model of user sensitivities integration into search engines. (C) 2013 The Authors. Published by Elsevier B.V.

引用

页码：428 / 436

页数：9

共 20 条

[1]

Adda M., 2011, 2011 3rd International Conference on Next Generation Networks and Services (NGNS), P1, DOI 10.1109/NGNS.2011.6142534

[2]

[Anonymous], 2003, P SIGCHI C HUMAN FAC, DOI DOI 10.1145/642611.642681

[3]

[Anonymous], P 21 INT C INF SYST

[4]

Blunsom P., 2006, Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, P615, DOI 10.1145/1148170.1148282

[5]

Chen Y.-A., 2006, THESIS LOS ANGELES

[6] Optimal algorithms for finding user access sessions from very large web logs [J].

Chen, ZX ;

Fu, AWC ;

Tong, FCH .

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2003, 6 (03) :259-279

[7]

Chen-Guang He, 2010, Proceedings 2010 IEEE Youth Conference on Information, Computing and Telecommunications (YC-ICT 2010), P351, DOI 10.1109/YCICT.2010.5713117

[8] A query expansion and user profile enrichment approach to improve the performance of recommender systems operating on a folksonomy [J].

De Meo, Pasquale ;

Quattrone, Giovanni ;

Ursino, Domenico .

USER MODELING AND USER-ADAPTED INTERACTION, 2010, 20 (01) :41-86

[9] Usage-based PageRank for web personalization [J].

Eirinaki, M ;

Vazirgiannis, M .

FIFTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2005, :130-137

[10]

Gauch S., 2007, The Adaptive Web. Methods and Strategies of Web Personalization, P54

← 1 2 →