DotMat: Solving Cold-Start Problem and Alleviating Sparsity Problem for Recommender Systems
Author:
Affiliation:
1. Ratidar.com,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9823394/9823964/09824188.pdf?arnumber=9824188
Reference16 articles.
1. SVDFeature: A Toolkit for Feature-based Collaborative Filtering;chen;Journal of Machine Learning Research,2012
2. MatRec
3. Zipf Matrix Factorization: Matrix Factorization with Matthew Effect Reduction
4. RankMat: Matrix Factorization with Calibrated Distributed Embedding and Fairness Enhancement
5. Alternating least squares for personalized ranking
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