MFMAP: Learning to Maximize MAP with Matrix Factorization for Implicit Feedback in Recommender System.
Jianli ZhaoZhengbin FuQiuxia SunSheng FangWenmin WuYang ZhangWei WangPublished in: KSII Trans. Internet Inf. Syst. (2019)
Keyphrases
- matrix factorization
- implicit feedback
- recommender systems
- collaborative filtering
- personalized ranking
- explicit feedback
- user behavior
- eye tracking
- latent factors
- learning algorithm
- missing data
- low rank
- latent factor models
- cold start problem
- data sparsity
- user feedback
- negative matrix factorization
- nonnegative matrix factorization
- item recommendation
- relevance feedback
- search result
- recommendation systems
- user preferences
- cold start
- contextual information
- tensor factorization
- information overload
- recommendation quality
- factorization methods
- supervised learning