Scalable Realistic Recommendation Datasets through Fractal Expansions.
Francois BellettiKarthik LakshmananWalid KricheneYi-Fan ChenJohn R. AndersonPublished in: CoRR (2019)
Keyphrases
- amazon mechanical turk
- image compression
- fractal dimension
- benchmark datasets
- experimental results on real world
- collaborative filtering
- image quality
- text classification
- recommendation algorithms
- lightweight
- recommendation systems
- intrusion detection
- contextual bandit
- fractal analysis
- web scale
- training dataset
- real time
- cloud computing
- recommender systems
- website
- feature selection
- learning algorithm