An Approach to Alleviate the Sparsity Problem of Hybrid Collaborative Filtering Based Recommendations: The Product-Attribute Perspective from User Reviews.
Xiaoxian YangSijing ZhouMin CaoPublished in: Mob. Networks Appl. (2020)
Keyphrases
- collaborative filtering
- data sparsity
- hybrid recommendation
- recommender systems
- product recommendation
- making recommendations
- cold start
- recommendation quality
- cold start problem
- user preferences
- matrix factorization
- personalized recommendation
- user item rating
- recommendation systems
- collaborative filtering algorithms
- user ratings
- rating matrix
- attribute values
- content based filtering
- transfer learning
- online dating
- demographic information
- tensor factorization
- recommendation algorithms
- cross domain collaborative filtering
- viewpoint
- life cycle
- information filtering
- item recommendation
- collaborative filtering recommendation
- information overload
- latent factor models
- active user
- user interests
- product reviews
- user profiles
- product quality
- deal with information overload
- product design