Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags.
Tim DonkersBenedikt LoeppJürgen ZieglerPublished in: RecSys Posters (2016)
Keyphrases
- matrix factorization
- user profiles
- latent factors
- collaborative filtering
- recommender systems
- factorization methods
- low rank
- user interests
- factor analysis
- latent factor models
- user preferences
- nonnegative matrix factorization
- implicit feedback
- user feedback
- user model
- missing data
- negative matrix factorization
- user generated
- recommendation systems
- clustering algorithm
- k means
- keywords