Incorporating recklessness to collaborative filtering based recommender systems.
Diego Pérez-LópezFernando OrtegaÁngel González-PrietoJorge Dueñas-LerínPublished in: Inf. Sci. (2024)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- cold start problem
- user preferences
- information filtering
- recommendation quality
- recommendation systems
- netflix prize
- user profiles
- cold start
- data sparsity
- deal with information overload
- collaborative filtering algorithms
- user interests
- user modeling
- recommendation algorithms
- user ratings
- movie recommendation
- user model
- trust aware
- making recommendations
- online dating
- transfer learning
- user modelling
- information overload
- user profiling
- personalized recommendation
- product recommendation
- latent factor models
- user feedback
- implicit feedback
- pearson correlation coefficient
- probabilistic model
- item based collaborative filtering
- website