Service and tag recommendation method based on random walk

A technology of random walk and recommendation method, applied in the field of service computing, can solve the problem of not making good use of the randomness of labels in the internal structure of data, and achieve the effect of improving query accuracy and accuracy.

Active Publication Date: 2012-10-24
江苏幻网软件科技有限公司
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AI Technical Summary

Problems solved by technology

[0005] The present invention mainly aims at problems such as the internal structure of data not being well utilized in the service search process and the arbitrariness of labeling in the service registration process with the increasing number of services, and proposes a service and label recommendation method based on random walk

Method used

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  • Service and tag recommendation method based on random walk

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Embodiment Construction

[0038] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0039] The embodiment is based on ProgrammableWeb. ProgrammableWeb is a famous mashup and open API service directory. As of February 2011, more than 6,000 mashups and more than 4,000 API services have been listed, and some registration information of mashups and API services are provided, including Their names, URLs, providers, tags, etc. The Mashup is obtained by combining API services, and the API is a service, so it meets the data requirements of the present invention.

[0040] Using the data on ProgrammableWeb as the carrier, Mashup service recommendations and label recommendations can be provided according to user needs. The meta information data includes the meta information of the Mashup service and the API service, the meta information of the Mashup service includes a collection of Mashup documents, and the meta information of th...

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Abstract

The invention belongs to the technical field of service computation, and relates to a service and tag recommendation method based on random walk. The method comprises a service recommendation step and a tag recommendation step, wherein the service recommendation step comprises the following process of: collecting the information of a Mashup service and an API (Application Program Interface) service, abstracting the relation between the Mashup service and the API service by association, sorting each tag after performing random walk on a co-occurrence network between the tags, and recommending the Mashup service through the association relation between the tag and the Mashup service and the Mashup semantic expansion method. The tag recommendation method comprises the following process of: searching the nearest neighbor according to the similarity of the API service description texts, and performing tag recommendation of the API service through the random walk and tag sorting method. The recommendation method can be used for improving the accuracy of the service searching result, and solving the problem of tag randomness.

Description

technical field [0001] The invention belongs to the technical field of service computing, and relates to service and tag recommendation based on semantic expansion and random walk. Background technique [0002] Social tagging started out as a way to provide individual users with control over queries. It allows individual users to organize and access information in their own language—with tags that they personally understand. When these tags are provided to other individuals, the value of the tags is extended from the individual to the group, not only can you find the content you marked, but also explore the similar content that you marked. So tagging evolved from a tool for personal use to content discovery. Public labeling has the problems of label abuse, lack of standards, and low efficiency of information retrieval. It is difficult for users to understand each other's labels, and the system cannot provide users with a dictionary of synonyms. However, it is widely used ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 李兵黄媛沈水晶
Owner 江苏幻网软件科技有限公司
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