Customized Recommendation System Based on Rule Matrix in SaaS Aggregation Service Platform

摘要

In this paper, we introduce a customized recommendation system that runs on the Software as a Service (SaaS) Aggregation Service Platform, which provides users with a convenient SaaS service function interworking environment. The customized recommendation system analyzes log informationgenerated through cloud data binding processing to provide customized recommendation service according to user status. Cloud data binding processing combines SaaS service functions based on a Rule Matrix defined using complex-context in providing the SaaS aggregation service. The utilizationstatus of the service generated through service aggregation is stored as log data called the cloud data binding history log. We describe and propose a system architecture based on the functional requirements for providing customized recommendation services by analyzing the characteristicsof user status using cloud data binding history log information generated based on the Rule Matrix. The proposed system provides an optimal SaaS service function to users and supports user-oriented SaaS aggregation service through the SASP’s web UI.