Mixture-preference bayesian matrix factorization for implicit feedback datasets.
Shaowen PengTsunenori MinePublished in: SAC (2020)
Keyphrases
- matrix factorization
- implicit feedback
- personalized ranking
- collaborative filtering
- recommender systems
- missing data
- user preferences
- explicit feedback
- factorization methods
- item recommendation
- nonnegative matrix factorization
- user behavior
- factor analysis
- latent factors
- negative matrix factorization
- data sparsity
- search result
- personalized recommendation
- bayesian networks
- search tasks
- bayesian analysis
- eye tracking
- recommendation algorithms
- search engine
- cold start
- gaussian processes
- learning to rank
- expectation maximization