A novel personalized recommendation algorithm by exploiting individual trust and item's similarities.
Taiheng LiuZhaoshui HePublished in: Appl. Intell. (2022)
Keyphrases
- recommendation algorithms
- personalized recommendation
- recommender systems
- user preferences
- collaborative filtering
- filtering algorithm
- recommendation systems
- collaborative filtering recommendation
- user specific
- item based collaborative filtering
- individual user
- product recommendation
- cold start
- individual level
- user interests
- similarity measure
- information overload
- trust model
- user model
- web users
- matrix factorization
- binary images
- gray scale
- document collections
- co occurrence
- multiscale
- e learning
- hybrid recommendation