Matrix Factorization for Video Recommendation Based on Instantaneous User Interest.
Kun LiChen LiLihua TianPublished in: EITCE (2020)
Keyphrases
- matrix factorization
- user interests
- collaborative filtering
- recommender systems
- user generated
- user profiles
- user preferences
- low rank
- data sparsity
- negative matrix factorization
- missing data
- factorization methods
- nonnegative matrix factorization
- factor analysis
- user behavior
- personalized recommendation
- implicit feedback
- user model
- stochastic gradient descent
- item recommendation
- probabilistic matrix factorization
- tensor factorization
- variational bayesian
- information overload
- website