Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation.
Trong Dinh Thac DoLongbing CaoPublished in: IJCAI (2018)
Keyphrases
- metadata
- tensor factorization
- singular value decomposition
- collaborative filtering
- kronecker product
- digital libraries
- sparse matrices
- recommender systems
- sparse matrix
- low rank matrix
- coefficient matrix
- database
- measurement matrix
- matrix factorization
- multimedia
- low rank approximation
- poisson process
- sparse data
- learning resources
- sparse representation
- pairwise
- low rank matrices
- tag recommendation
- search tools
- information resources
- learning objects
- high dimensional