Web service recommending method based on association rules

A recommendation method and web service technology, which is applied in the field of service recommendation calculation of Web service combination, can solve problems such as low usage rate and neglect, achieve stability and accuracy improvement, broad application prospects, convenient and efficient service recommendation method Effect

Inactive Publication Date: 2016-03-09
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

Although the introduction of association rules improves the execution efficiency and service quality of Web service composition and gene

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  • Web service recommending method based on association rules
  • Web service recommending method based on association rules
  • Web service recommending method based on association rules

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Embodiment Construction

[0032] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] Such as figure 1 Shown, the present invention is based on the web service recommendation method of association rule, comprises the following steps:

[0034] Step 1. Preprocess the workflow data, analyze the workflow, extract a large amount of atomic service information from the workflow, and construct the history of service composition. Assuming the following training set, workflow 1 includes three atomic services A, B, and C, and workflow 2 includes three atomic services A, B, C, D, E, and F. So a total of 6 atomic services are extracted.

[0035] Step 2, build a service combination: the atomic services extracted in step 1 are recombined randomly, and the resulting service combination is saved in the two-dimensional array userCombList, and the total number of rules after recombination is N=2 n -1. Number each atomic servic...

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Abstract

The present invention discloses a Web service recommending method based on association rules. Although association rules are introduced into an existing Web service recommending method and execution efficiency and service quality of a Web service composition are improved, only recommendation of strongly associated services can be generated and a part of services that are uncommon but have high association capabilities are ignored due to a low usage rate. According to the present invention, the association rule mining is improved, i.e. the support degree for the association rules is modified. The improved association rule recommending method guarantees association strength between all atomic services in the service composition not to be reduced due to the increase of the length of the service composition and is improved in stability and accuracy compared with a conventional recommending method. According to the Web service recommending method based on the association rules, which is disclosed by the present invention, historical data of the service composition is analyzed and an implicit internal relationship between individual Web services is mined, so that a potential demand of a user can be found and a system selects the optimal service composition to recommend to the user. The Web service recommending method based on the association rules, which is provided by the present invention, provides a convenient and efficient service recommending method to users and has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of service recommendation calculation of Web service combination, in particular to a method for recommending Web services based on association rules. Background technique [0002] On the one hand, the Web service recommendation system helps users find useful Web services, and on the other hand, it helps service providers present Web services to users who are interested in them. The recommended services must meet the functional and non-functional needs of the user. An efficient recommendation algorithm can often help developers shorten the development cycle, save development and management costs, and at the same time ensure the efficiency and quality of software development. Most of the existing Web service recommendation methods are based on the similarity between the Web service itself or users, such as item-based collaborative filtering recommendation and user-based collaborative filtering recommendation....

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 姜波潘伟丰谢波王家乐余海飞汪家磊
Owner ZHEJIANG GONGSHANG UNIVERSITY
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