Web API recommendation method based on mashup service neighborhood in open web environment
A recommendation method and neighborhood technology, applied to instruments, semantic analysis, transmission systems, etc., can solve the problems of short Mashup service requirement description, poor diversity, and low accuracy
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[0113] The present invention will be further described below in conjunction with the accompanying drawings.
[0114] refer to figure 1 , the overall process of the proposed method of the present invention is described, and the description is as follows:
[0115] In the initial stage, the required Mashup service is matched with the clustered Mashup service, the neighborhood range is determined, and the Web API is determined based on the neighborhood range. Further, based on the functional category information, all the Web APIs in the dataset are divided into functional categories. Finally, based on QoS information such as WebAPI call frequency and co-occurrence relationship, the quality of WebAPIs is ranked by category, and the optimal combination of Web APIs is selected as recommendation feedback.
[0116] A method for recommending a Web API based on a Mashup service neighborhood in an open Web environment, comprising the following steps:
[0117] The first step is to const...
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