Binary multi-modal matrix factorization for fast item cold-start recommendation.
Chengmei PengLei ZhuYang XuYaping LiLei GuoPublished in: Neurocomputing (2022)
Keyphrases
- multi modal
- matrix factorization
- item recommendation
- collaborative filtering
- cold start problem
- latent factor models
- latent factors
- low rank
- recommender systems
- binary matrix
- nonnegative matrix factorization
- negative matrix factorization
- missing data
- factorization methods
- data sparsity
- user ratings
- cross modal
- multi modality
- user preferences
- factor analysis
- stochastic gradient descent
- personalized recommendation
- image annotation
- high dimensional
- implicit feedback
- uni modal
- cold start
- binary data
- machine learning
- multimedia
- tag recommendation