A Kind of Web Service Recommendation Method Based on Hybrid Collaborative Filtering

Provided by: Binary Information Press
Topic: Software
Format: PDF
In order to solve the common problem that returned services cannot meet the users' personalization requirements in web service discovery, the paper presents a hybrid collaborative filtering algorithm for the recommendation of web services by combining user-based and item-based collaborative filtering algorithm. The hybrid method takes into account the personalization of historical invocation information between users and services and makes improvement on similarity calculation while adopting Pearson Correlation Coefficient (PCC) to measure the similarity between two users or two services.

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