DocumentCode
2824405
Title
A personalized search engine model based on RSS user´s interest
Author
Jiang, Zongli ; Deng, Xiaojia
Author_Institution
Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
Volume
2
fYear
2010
fDate
21-24 May 2010
Abstract
Really Simple Syndication (RSS) has the characteristics of syndication and aggregation, so each RSS user can subscribe what he needs, and the difference in behavior represents RSS users´ individual information needs. In this paper, we concern about RSS user´s behavior. According to establish and amend RSS user´s individual interest model automatically from the user´s implicit feedback, we could derive of user´s interest, so as to provide RSS user with targeted information and realize RSS user´s personalized information services.
Keywords
information services; search engines; RSS users behavior; RSS users individual information services; RSS users individual interest model; personalized search engine model; really simple syndication; Assembly; Computer displays; Computer science; Educational institutions; Electronic mail; Feedback; Feeds; Search engines; User interfaces; XML; RSS; personalized user model; potential interest;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497371
Filename
5497371
Link To Document