An Item-Item Collaborative Filtering Recommender System Using Trust and Genre to Address the Cold-Start Problem.
Mahamudul HasanFalguni RoyPublished in: Big Data Cogn. Comput. (2019)
Keyphrases
- cold start problem
- recommender systems
- collaborative filtering
- cold start
- data sparsity
- item based collaborative filtering
- matrix factorization
- collaborative recommendation
- personalized recommendation
- user preferences
- user similarity
- user profiles
- user model
- information overload
- machine learning
- user ratings
- transfer learning
- web documents
- collaborative filtering algorithms
- recommendation quality
- making recommendations
- social networks