DocumentCode :
1675086
Title :
Study on the combination recommendation method of adaptive collaborative filtering and clustering
Author :
Chao-yi, Xu
Author_Institution :
School of Economic and Management, Anhui University of Science & Technology, Huainan, China
fYear :
2011
Firstpage :
1
Lastpage :
3
Abstract :
In view of the question — the current collaborative filtering technology which exists in the electronic commerce recommendation system application, this article has proposed a combination recommendation method based on the collaborative filtering and the clustering, and it has solved the algorithm extendibility problem and the data sparsity problem in the collaborative filtering recommendation to a certain extent. Meantime, it has described overall frame structure in the combination recommendation method, and explained the process of module realization and the detailed design of the algorithm in the combination recommendation method with emphasis.
Keywords :
Algorithm design and analysis; Clustering algorithms; Collaboration; Economics; Recommender systems; Silicon; Clustering; Collaborative Filtering; Combination Recommendation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
Type :
conf
DOI :
10.1109/ICEBEG.2011.5886938
Filename :
5886938
Link To Document :
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