DocumentCode :
2498506
Title :
A Framework for Personalized Information Retrieval Model
Author :
Gemechu, Fikadu ; Yu, Zhang ; Ting, Liu
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
500
Lastpage :
505
Abstract :
Existing search engines ignore the user´s search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user´s profile during the retrieval process is “mandatory.” In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.
Keywords :
information retrieval; personalized information retrieval model; relevance value; search engines; user profiles; user search context; Computer networks; Computer science; Context modeling; Information filtering; Information management; Information retrieval; Intellectual property; Internet; Protocols; Search engines; personalized information retrieval; search context; user profile;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-4042-9
Electronic_ISBN :
978-1-4244-6962-8
Type :
conf
DOI :
10.1109/ICCNT.2010.125
Filename :
5474447
Link To Document :
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