Neural Variational Collaborative Filtering for Top-K Recommendation.
Xiaoyi DengFuzhen ZhuangPublished in: PAKDD (Workshops) (2019)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- recommendation systems
- data sparsity
- personalized recommendation
- network architecture
- user preferences
- neural network
- online dating
- recommendation quality
- neural model
- information filtering
- query processing
- item recommendation
- latent factor models
- cold start problem
- user defined
- content based filtering
- recommendation algorithms
- pearson correlation coefficient
- collaborative filtering recommendation
- product recommendation
- hybrid recommendation
- cold start
- deal with information overload
- bio inspired
- optical flow
- scoring function
- image segmentation
- collaborative filtering recommendation algorithm
- user interests
- transfer learning
- making recommendations
- item based collaborative filtering
- implicit feedback
- associative memory
- movie recommendation
- user profiles
- biologically inspired
- web page recommendation
- image sequences
- result set