TY - GEN
T1 - The research of the personalization recommendation model based on the behavior of user's retrieval and browse
AU - Xueping, Peng
AU - Zhendong, Niu
PY - 2007
Y1 - 2007
N2 - This paper presents a personalization recommendation model to recommend potentially interesting resources to users based on the preference characteristics of users. This model consists of two algorithms: a building algorithm of user model and a recommending algorithm of resource. The first algorithm aims to build the user model, according to searched keywords and behaviors of users. Founded on the model, ordered resources are recommend to users by the second algorithm.
AB - This paper presents a personalization recommendation model to recommend potentially interesting resources to users based on the preference characteristics of users. This model consists of two algorithms: a building algorithm of user model and a recommending algorithm of resource. The first algorithm aims to build the user model, according to searched keywords and behaviors of users. Founded on the model, ordered resources are recommend to users by the second algorithm.
UR - http://www.scopus.com/inward/record.url?scp=48149088304&partnerID=8YFLogxK
U2 - 10.1109/WIIATW.2007.4427551
DO - 10.1109/WIIATW.2007.4427551
M3 - Conference contribution
AN - SCOPUS:48149088304
SN - 0769530281
SN - 9780769530284
T3 - Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
SP - 107
EP - 110
BT - Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
T2 - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
Y2 - 2 November 2007 through 5 November 2007
ER -