Exploiting Data Sparsity in Parallel Matrix Powers Computations.
Nicholas KnightErin C. CarsonJames DemmelPublished in: PPAM (1) (2013)
Keyphrases
- data sparsity
- collaborative filtering
- matrix factorization
- matrix multiplication
- recommender systems
- transfer learning
- cold start problem
- singular value decomposition
- parallel computation
- distributed memory
- linear algebra
- association rules
- recommendation quality
- parallel implementation
- user ratings
- similarity measure
- hybrid recommendation