FDIG: A Fine-Grained Data Integration Approach for Group Recommendation
Author:
Affiliation:
1. National University Of Defense Technology,College Of Computer,Changsha,P.R.China,410073
2. Changsha Environmental Protection Vocational College,Changsha,P.R.China,410073
3. CNCERT/CC,100029
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448340.pdf?arnumber=10448340
Reference23 articles.
1. A Survey on Recommendation System
2. Item-Based Collaborative Filtering Recommendation Algorithm Combining Item Category with Interestingness Measure
3. Matrix Factorization Techniques for Recommender Systems
4. Fast Matrix Factorization for Online Recommendation with Implicit Feedback
5. Wide & Deep Learning for Recommender Systems
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