On-line service combination recommendation system and recommendation method thereof

A technology of service combination and recommendation system, applied in the field of online recommendation mechanism, it can solve problems such as user preferences and other implicit attributes cannot be reflected, services cannot fully reflect users, and users cannot recommend service combinations.

Active Publication Date: 2011-11-02
ZHEJIANG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

At present, the research on service combination recommendation is based on explicit attributes such as service function and quality, but the explicit attributes of services cannot fully reflect the needs of users, and implicit attributes s

Method used

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  • On-line service combination recommendation system and recommendation method thereof
  • On-line service combination recommendation system and recommendation method thereof
  • On-line service combination recommendation system and recommendation method thereof

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0036] In the whole system, the web service is represented as the following form:

[0037] web service : WS=(N, CI, I, F, O, CO, QoS), where N is the name of the Web service, CI is a list of preconditions (also known as prerequisites) for service execution, and I is the input of the service Parameter list, F is the function of the service, O is the output parameter list of the service, CO is the post-condition list of the service execution, and QoS is the QoS quality of the service.

[0038] Consider only service composition where there is only an order relationship between services, and express it as the following:

[0039] service portfolio : S=(WS 1 , WS 2 , …, WS n), where WS i is the i-th web service executed in sequence, and satisfies I i (O 1 ∪O 2 ∪…∪O i-1 ) and CI i (CO ...

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Abstract

The invention discloses an on-line service combination recommendation system and a recommendation method thereof. The system comprises a usage frequency counter, a service search tree construction device, and a service composition recommendation device. The use frequency counter is used for obtaining usage record of service compositions in a service combination usage log database and countering usage frequency of each service composition. The service search tree construction device is used for acquiring usage frequency of the service compositions from the usage frequency counter and obtaining QoS values of corresponding service compositions from a service registration center, through the usage frequency of the service compositions and the QoS values of corresponding service compositions, calculating P(S) value of the service compositions, and constructing a service search tree T of the service compositions. According to the obtained service search tree of the service compositions and combined but unfinished service compositions prefix fragment q, the service compositions recommendation device utilize A-star heuristic search, obtain a service compositions scheme, and recommend better service to substitute combined service for a user.

Description

technical field [0001] The invention belongs to the field of Web services, and mainly utilizes the Bayesian principle and the A-star heuristic search method to realize an online recommendation mechanism for service combinations. Background technique [0002] In the last ten years, the service-oriented thinking has been accepted by most people through continuous development, and the new distributed computing model SOA (Oriented Architecture, service-oriented architecture) developed from the service-oriented thinking , has played an increasingly important role in e-commerce, system integration and other fields. In the industry, software vendors such as Microsoft, IBM, BEA, and Oracle have released their own SOA strategies, and suggest that users should give priority to SOA when building enterprise IT systems; in academia, researchers have organized numerous service computing technology conferences, And focus on SOA research. According to the forecast of Gartner Group, a well...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F17/30
Inventor 吴健简恒懿尹建伟李莹邓水光吴朝晖
Owner ZHEJIANG UNIV
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