DocumentCode :
3230644
Title :
Hybrid System Based on Intelligent Neighbor Formation Algorithm
Author :
Maneeroj, Saranya ; Bhattarakosol, Pattarasinee
Author_Institution :
Dept. of Math., Chulalongkorn Univ.
fYear :
2006
fDate :
18-22 Dec. 2006
Firstpage :
765
Lastpage :
768
Abstract :
Currently, people prefer shopping interesting items from the Internet. Therefore, e-business had installed recommender systems to support users in selecting products as quick as possible. The responsibility of the recommender system is to propose interesting items to the target users in order to gain their interests. Unfortunately, the existing recommender systems have some imperfect function under some certain situations. This paper proposed the INFA that improves the qualities of neighbors by detailing features of users´ preferences. Moreover, in the neighbor forming process, the consideration domain of agreements is classified into two independent domains: the positive, and the negative agreements. Furthermore, the MNBT has improved the ability of recommender under the situation of no opinion from neighbors, or no existing neighbors
Keywords :
Internet; content-based retrieval; electronic commerce; information filtering; information filters; retail data processing; Internet; collaborative filtering; content-based filtering; e-business; hybrid system; intelligent neighbor formation algorithm; interesting item shopping; product selection; recommender system; Bayesian methods; Collaboration; Filling; Hybrid intelligent systems; Information filtering; Information filters; Internet; Mathematics; Recommender systems; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
Type :
conf
DOI :
10.1109/WI.2006.91
Filename :
4061469
Link To Document :
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