Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions.
Francois BellettiKarthik LakshmananWalid KricheneNicolas MayorazYi-Fan ChenJohn R. AndersonTaylor RobieTayo OguntebiDan ShirronAmit BleiwessPublished in: CoRR (2019)
Keyphrases
- collaborative filtering
- data sets
- matrix factorization
- recommender systems
- image compression
- synthetic data
- benchmark data sets
- fractal dimension
- real world data sets
- web page recommendation
- data sparsity
- personalized recommendation
- deal with information overload
- probabilistic matrix factorization
- latent factor models
- recommendation systems
- transfer learning
- high dimensional data
- data sources
- real world