Recommendation Versus Regression Neural Collaborative Filtering.
Jesús BobadillaSantiago AlonsoAbraham GutiérrezÁlvaro GonzálezPublished in: KES-IDT (2022)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- data sparsity
- matrix factorization
- network architecture
- regression model
- personalized recommendation
- user preferences
- online dating
- making recommendations
- product recommendation
- recommendation algorithms
- neural network
- item recommendation
- regression problems
- model selection
- linear regression
- latent factor models
- gaussian processes
- recommendation quality
- implicit feedback
- collaborative filtering algorithms
- user ratings
- probabilistic matrix factorization
- cold start
- cold start problem
- regression algorithm
- simple linear
- regression analysis
- movie recommendation
- content based filtering
- neural model
- transfer learning
- pearson correlation coefficient
- rating matrix
- collaborative filtering recommendation
- item based collaborative filtering
- hybrid recommendation
- rating prediction
- regression function
- user interests
- associative memory
- website
- search engine