DocumentCode :
3510239
Title :
Context-Based Adaptive Personalized Web Search for Improving Information Retrieval Effectiveness
Author :
Pan, Xuwei ; Wang, Zhengcheng ; Gu, Xinjian
Author_Institution :
Dept. of Manage. Sci. & Eng., Zhejiang Sci-Tech Univ., Hangzhou
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
5427
Lastpage :
5430
Abstract :
Current Web search/metasearch engines are built to serve all users, independent of the special needs of any individual user in different situations. Personalization of web search is to carry out retrieval for each user incorporating his/her interests. In this paper, we propose a novel adaptive personalized approach based on context to adapting search results according to each user´s need in different situations for relevant information with little user effort. After the process of the context-based adaptive personalized search is analyzed, three key technologies to implement this process are presented in details, which are semantic indexing for Web resources, modeling and acquiring user context and semantic similarity matching between Web resources and user context. Experimental results indicate that the adaptive personalized search system is adopted by most of users and our approach to personalize Web search is both effective.
Keywords :
information needs; information retrieval; search engines; semantic Web; context-based adaptive personalized Web search; information retrieval; metasearch engines; semantic indexing; semantic similarity matching; user context acquisition; user context modeling; Adaptive systems; Context modeling; Demography; Engineering management; Feedback; Information retrieval; Metasearch; Search engines; Web pages; Web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.1329
Filename :
4341104
Link To Document :
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