Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence.
Dawen LiangJaan AltosaarLaurent CharlinDavid M. BleiPublished in: RecSys (2016)
Keyphrases
- matrix factorization
- co occurrence
- item recommendation
- collaborative filtering
- factorization methods
- recommender systems
- low rank
- negative matrix factorization
- tensor factorization
- latent factors
- latent factor models
- missing data
- factor analysis
- wordnet
- user preferences
- data sparsity
- user ratings
- nonnegative matrix factorization
- factorization method
- data matrix
- personalized recommendation
- implicit feedback
- probabilistic latent semantic analysis
- latent semantic analysis
- topic models
- named entities
- vector space
- artificial intelligence
- feature selection
- word co occurrence
- text mining
- machine learning
- text documents
- visual words