Location-Based Hierarchical Matrix Factorization for Web Service Recommendation.
Pinjia HeJieming ZhuZibin ZhengJianlong XuMichael R. LyuPublished in: ICWS (2014)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- web services
- latent factor models
- cold start problem
- low rank
- factorization methods
- negative matrix factorization
- personalized ranking
- nonnegative matrix factorization
- user preferences
- missing data
- rating prediction
- factor analysis
- recommendation algorithms
- stochastic gradient descent
- implicit feedback
- personalized recommendation
- factorization method
- recommendation systems
- probabilistic matrix factorization
- data matrix
- user ratings
- latent factors
- social networking
- transfer learning
- unsupervised learning
- semi supervised