The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study.
Lukas WegmethPublished in: CoRR (2022)
Keyphrases
- collaborative filtering
- case study
- recommendation algorithms
- filtering algorithm
- recommendation systems
- feature vectors
- recommender systems
- matrix factorization
- high quality
- collaborative filtering algorithms
- user preferences
- personalized recommendation
- pearson correlation coefficient
- real world
- long tail
- binary images
- active learning
- multiscale