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
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;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497371
