Collaborative Filtering Recommendation Method Based on ART2 Dynamic Clustering
Author:
Affiliation:
1. Sichuan Top Information Technology Vocational Institute,Chengdu,China,611743
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10505440/10505183/10505536.pdf?arnumber=10505536
Reference12 articles.
1. Item-based collaborative filtering recommendation algorithms
2. A probabilistic music recommender considering user opinions and audio features
3. A matrix factorization technique with trust propagation for recommendation in social networks
4. Effective missing data prediction for collaborative filtering
5. An improved item-based collaborative filtering algorithm based on clustering method[J];Wen;Journal of Computational Information Systems,2012
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