HHMF: hidden hierarchical matrix factorization for recommender systems.
Hui LiYu LiuYuqiu QianNikos MamoulisWenting TuDavid W. CheungPublished in: Data Min. Knowl. Discov. (2019)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- latent factors
- low rank
- cold start problem
- factorization methods
- data sparsity
- negative matrix factorization
- nonnegative matrix factorization
- implicit feedback
- item recommendation
- missing data
- stochastic gradient descent
- factor analysis
- data matrix
- factorization method
- user preferences
- information overload
- probabilistic matrix factorization
- cold start
- recommendation quality
- rating prediction
- co occurrence
- personalized recommendation
- pairwise
- tensor factorization