QoS-Prediction Cloud Service Recommendation by Collaborative Filtering in Cloud Manufacturing Platform

Provided by: AICIT
Topic: Cloud
Format: PDF
By analyzing the user and cloud service characteristics in cloud manufacturing, combined with the existing classic collaborative filter recommendation method, a recommendation algorithm for user oriented cloud service based QoS prediction in cloud manufacturing was proposed. To meet the needs of user-oriented personalized recommendation service on cloud manufacturing platform, the algorithm was optimized to calculate the similarity based on user and item of the Pearson Correlation Coefficient (PCC), the Top-K selection and new user problem. To study the QoS value prediction accuracy of the authors' approach, the experimental comparison with other algorithms on real data sets was carried out and the experimental results show that their algorithm has been optimized and achieved better prediction accuracy.

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