Research on schedule-based user recommendation model based on improved K-means algorithm.
Meihong WangYuhui ZhengMing QiuYan ZhengPublished in: J. Comput. Methods Sci. Eng. (2016)
Keyphrases
- k means
- improved algorithm
- expectation maximization
- experimental evaluation
- learning algorithm
- dynamic programming
- data clustering
- clustering method
- significant improvement
- detection algorithm
- matching algorithm
- end users
- clustering algorithm
- user intervention
- simulated annealing
- recommender systems
- user interface
- high accuracy
- worst case
- probabilistic model
- optimization algorithm
- cost function
- computational complexity
- convergence rate
- objective function
- similarity measure
- critical path