A Context Based Recommender System through Collaborative Filtering and Word Embedding Techniques.
Mahsa KhorasaniHamid SadjadiFaezeh RamazaniFaezeh EnsanPublished in: TREC (2016)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- data sparsity
- cold start problem
- co occurrence
- personalized recommendation
- information filtering
- recommendation systems
- information overload
- user profiles
- recommendation quality
- context sensitive
- recommendation algorithms
- online dating
- word recognition
- cold start
- vector space
- implicit feedback
- word sense disambiguation
- n gram
- netflix prize
- latent factor models
- watermarking algorithm
- user interests
- user ratings
- user model
- product recommendation
- hybrid recommendation
- probabilistic matrix factorization
- user item rating