Fair Personalized Recommendation through Improved Matrix Factorization by Neural Networks.
Tao ZengXiaohan FangYue LangJiquan PengXi WuShuli WangJibing GongPublished in: ICNCC (2021)
Keyphrases
- matrix factorization
- personalized recommendation
- collaborative filtering
- recommender systems
- cold start problem
- implicit feedback
- low rank
- data sparsity
- user interests
- user preferences
- collaborative filtering recommendation
- missing data
- factor analysis
- nonnegative matrix factorization
- negative matrix factorization
- recommendation systems
- item recommendation
- probabilistic matrix factorization
- information overload
- user feedback
- user profiles
- factorization methods
- recommendation algorithms
- learning to rank
- web search
- latent factors
- end users
- website
- social networks