A QoS-aware Web service recommendation method based on user and service clustering

A recommendation method and web service technology, which is applied in the field of Web service recommendation based on user and service clustering QoS perception, can solve the problem of low accuracy of recommendation results

Active Publication Date: 2019-03-15
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] These studies have relatively good performance in predicting and recommending related services and variables based on QoS, but many of them ignore the significant impact of service functions and user similarity on the accuracy of recommendation results, and many recommendation models are deeply affected by the sparsity of QoS matrix data. These factors lead to the problem that the accuracy of the recommendation results is not high, which needs to be solved urgently

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  • A QoS-aware Web service recommendation method based on user and service clustering
  • A QoS-aware Web service recommendation method based on user and service clustering
  • A QoS-aware Web service recommendation method based on user and service clustering

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[0050] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with examples, which are only used to explain the present invention and do not constitute a limitation to the protection scope of the present invention. The data of the embodiment is provided by the open source project WSDream, which contains 339 users' calls to 5,825 Web services in the real world, generating more than 1.5 million call records. Data cleaning and preprocessing were carried out on the basis of the original data, and 80% of the data in the data set was used for model training to determine the optimal parameters, and the remaining 20% ​​of the data was used to verify the effectiveness of the algorithm model.

[0051] The web recommendation algorithm based on user and service clustering of the embodiment, the architecture is as follows figure 1 . First, calculate the similarity of users and perform clustering; then perform fun...

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Abstract

The invention provides a Web service recommendation method based on QoS perception of user and service clustering, which clusters users with similar service preference by using cosine similarity calculation based on QoS record of user calling service. Then the WSDL file, which is the description document of the service itself, is extracted and normalized. Means + + algorithm clusters services withsimilar functional characteristics; Finally, the similar user set and the similar service set are integrated into the collaborative filtering algorithm to calculate the missing QoS value of the service invocation matrix and generate recommendations. By using the data set provided by the WSDream Open Source Project, the simulation results show that the proposed Web service recommendation method based on user and service clustering has better results on two mainstream evaluation indexes, namely mean absolute error and root mean square error, compared with the existing technology.

Description

technical field [0001] The invention relates to the field of service recommendation in data mining, in particular to a Web service recommendation method based on user and service clustering QoS perception. Background technique [0002] With the rapid development of the current Internet and the explosive growth of web services with various functions available on it, it is becoming more and more difficult for users to choose appropriate web services, so it is very necessary to have related methods to automatically and effectively select appropriate web services Recommend to users. In the face of massive service types and service information, how to efficiently and accurately recommend related services to users according to user specificity has increasingly become a research problem in the industry. Web service recommendation provides a research direction to solve this difficult problem. [0003] Web service recommendation is to establish a recommendation model for service re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536
Inventor 暴建民温韬
Owner NANJING UNIV OF POSTS & TELECOMM
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