Recommendation Model Based on Probabilistic Matrix Factorization, Integrating User Trust Relationship, Interest Mining, and Item Correlation.
Lifeng HanLi ChenXiaolong ShiPublished in: IEEE Access (2022)
Keyphrases
- collaborative filtering
- item recommendation
- probabilistic matrix factorization
- user preferences
- matrix factorization
- recommender systems
- cold start problem
- recommendation algorithms
- user ratings
- personalized recommendation
- recommendation systems
- cold start
- long tail
- trust relationships
- user similarity
- active user
- user feedback
- user interaction
- tag recommendation
- personal preferences
- data mining
- data analysis
- user behavior
- database
- text mining
- end users
- social networks