Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation.
Cataldo MustoGiovanni SemeraroMarco de GemmisPasquale LopsPublished in: RecSys Posters (2015)
Keyphrases
- recommender systems
- information filtering
- content based filtering
- collaborative filtering
- image retrieval
- user profiling
- news recommendation
- user preferences
- matrix factorization
- music recommendation
- cold start problem
- vector space
- word sense disambiguation
- trust aware
- user profiles
- data sparsity
- co occurrence
- text queries
- personalized recommendation
- product recommendation
- graph embedding
- word pairs
- multimedia
- user model
- relevance feedback
- compound critiques