USER: A Usage-Based Service Recommendation Approach

Collaborative filtering approach based on rating is one of the most broadly used service recommendation approach. However, rating data is very sparse in most service recommender systems, which seriously impacts the precision of service recommendation. In view of this problem, a usage-based service recommendation approach is proposed in this paper. What is special about this approach is that usage information instead of rating data is recruited to infer user interest. Some experiments are implemented to verify the efficient of this approach.

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