Scalable Recommender Systems through Recursive Evidence Chains.
Elias TragasCalvin LuoMaxime GazeauKevin LukDavid DuvenaudPublished in: CoRR (2018)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- search engine
- user model
- empirical evidence
- information filtering
- recursive functions
- cold start problem
- information overload
- recommendation quality
- cold start
- implicit feedback
- user modeling
- user profiles
- lightweight
- user preferences
- highly scalable
- web scale
- personalized recommendation
- memory efficient
- case study
- data mining
- data sets