Unifying Geographical Influence in Recommender Systems via Matrix Factorization.
Ce ChengJiajin HuangNing ZhongPublished in: WI-IAT (3) (2015)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- data sparsity
- factor analysis
- low rank
- cold start problem
- implicit feedback
- negative matrix factorization
- nonnegative matrix factorization
- probabilistic matrix factorization
- information overload
- item recommendation
- user preferences
- stochastic gradient descent
- factorization methods
- user feedback
- data matrix
- tensor factorization
- variational bayesian
- personalized recommendation
- low rank matrix factorization
- feature extraction
- missing data
- user profiles
- recommendation quality
- least squares