CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD.
Vineet Kumar SejwalMuhammad Abulaish JahiruddinPublished in: IEEE Access (2020)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- linked data
- user preferences
- data sparsity
- information filtering
- recommendation quality
- cold start problem
- user interests
- user profiles
- cold start
- context sensitive
- information overload
- user modeling
- personalized recommendation
- probabilistic matrix factorization
- recommendation systems
- implicit feedback
- databases
- collaborative filtering algorithms
- recommendation algorithms
- movie recommendation
- deal with information overload
- content based filtering
- user item rating
- user feedback
- transfer learning
- metadata
- search engine