The service recommendation problem: An overview of traditional and recent approaches

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Abstract

Service recommendation has become a hot fundamental research topic in service computing. With the increasing number of services, QoS is becoming more and more important for describing non-functional characteristics of services. The most popular technique is the Collaborative Filtering (CF) based on QoS values. Existing few approaches for service recommendation based on CF have been studied, so we are going to do a survey of these techniques in depth. In this paper, some of the main known results relative to the Service Recommendation Problem both traditional and recent approaches are surveyed. The paper is organized as follows: (1) definition; (2) traditional approaches; (3) recent approaches; (4) conclusion.

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Zhao, Y., & Wang, S. (2017). The service recommendation problem: An overview of traditional and recent approaches. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 201, pp. 37–47). Springer Verlag. https://doi.org/10.1007/978-3-319-59288-6_4

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