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• W2022469982 abstract "Due to the rapid growth of all kinds of Web services on the Internet, how to help users discover services to meet their personalized and diverse requirements becomes a challenging and hot issue. In this paper, we propose a multi-granularity oriented service organization and recommendation approach in consideration of users' role, requested goal, and service execution process. Based on modeling the Role (R), Goal (G), Process (P), and Services (S) models that are related to a specific domain problem (SDP), we use the dependency relationships among RGPS elements to realize on-demand service organization. Four kinds of service recommendation algorithms are designed according to different representations of users' requirements. Then the services with different granularity and partnerships are provided to users. In addition, the corresponding services evolution algorithms are designed to make the organized services adapt to dynamic changing environments. Finally, we conduct experiments to validate the effectiveness of the proposed methods." @default.
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• W2022469982 date "2015-01-01" @default.
• W2022469982 modified "2023-10-17" @default.
• W2022469982 title "Service organization and recommendation using multi-granularity approach" @default.
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• W2022469982 doi "https://doi.org/10.1016/j.knosys.2014.10.002" @default.
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