Same-occupation type recommendation method based on developer practical skill similarity

A recommendation method, developer's technology, applied in website content management, instrumentation, other database retrieval, etc., can solve problems such as delay or stagnation, failure to find suitable ones in time, sparseness, etc.

Active Publication Date: 2014-01-22
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, according to statistics, in the SourceForge.net community, more than 90% of the projects have less than 5 developers, many of which are delayed or stagnated due to failure to find suitable developers in time; a...

Method used

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  • Same-occupation type recommendation method based on developer practical skill similarity
  • Same-occupation type recommendation method based on developer practical skill similarity
  • Same-occupation type recommendation method based on developer practical skill similarity

Examples

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Embodiment Construction

[0042] The present invention will be further elaborated below in conjunction with the embodiments and the accompanying drawings.

[0043] The embodiment is based on Sourceforge.net. This embodiment selects the developers on Sourceforge.ne as the research object. In addition to having a large amount of open source project information because it is currently the largest open source software development community, it also considers its popularity and data accessibility. As of February 2013, more than 400,000 open source projects have been deployed and millions of developers or users. In order to facilitate the coordination and cooperation among developers, the community provides a variety of interaction channels for each open source project, including mailing lists, bug tracking libraries, SVN / CVS, forums, etc. At the same time, each item provides various attribute information in the storage process, so it is full of research requirements of the present invention.

[0044] Sele...

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Abstract

The invention discloses a same-occupation type recommendation method based on developer practical skill similarity. According to the same-occupation type recommendation method based on the developer practical skill similarity, the practical skill similarity of developers of the Sourceforge.net community is combined with the number of the joint developers, scores of two developers are calculated, analysis is carried out through the proportion coefficient between the practical skills and the number of the joint developers and the distribution condition of the proportion coefficients which represent the properties of the practical skills of the developers, and finally an optimal same-occupation type recommendation scheme with potential cooperation is provided for the developer of the community. The same-occupation type recommendation method based on the developer practical skill similarity has the advantages that community recommendation limited to developers of a single source opening project is avoided, the whole community serves as a recommendation object (such as the sourceforge.net), and then knowledge sharing and swarm intelligence advantages are examined from a larger visual angle; the number of the joint developers is considered, the practical skill similarity of the developers is introduced, and then prior recommendation of developers with more similar practical skills under the condition of same joint developer number is achieved.

Description

technical field [0001] The invention belongs to the field of group software engineering, and relates to a peer recommendation method based on the similarity of developers' practical skills, in particular to a potential cooperative peer recommendation method based on the similarity of developers' practical skills and the number of co-developers. Background technique [0002] Information recommendation is a kind of support to provide users with useful information for decision-making reference in a large amount of information. It recommends people or things that users may be interested in based on the user's historical data or user preferences, and has been widely used in different fields. Common recommendation systems such as Amazon, Netflix, Taobao, Movielens, etc. With the popularity of social networks, person-to-person recommendation has also attracted much attention. Users can meet more new friends and expand their social circle through friend recommendation, such as Wei...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/958
Inventor 李兵何鹏杨习辉汪文娟
Owner WUHAN UNIV
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