Measuring similarity based on user activeness in recommender systems to improve algorithm scalability.
Jun AiYifang CaiZhan SuDunlu PengFengyu ZhaoPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- recommender systems
- search space
- worst case
- learning algorithm
- optimization algorithm
- computational cost
- dynamic programming
- user intervention
- np hard
- significant improvement
- improved algorithm
- k means
- high accuracy
- detection algorithm
- times faster
- high efficiency
- recognition algorithm
- user interface
- user preferences
- segmentation algorithm
- objective function
- user model
- particle swarm optimization
- collaborative filtering
- probabilistic model
- experimental evaluation
- cost function