Developer Recommendation Method for Crowdsourcing Tasks in Open Source Community

Gitcoin is a crowdsourcing platform based on open-source community GitHub.In Gitcoin, project teams can release development tasks.The developers select the task they are interested in to register, and the publisher selects the appropriate deve-loper to complete the task and offers a reward.But some tasks fail because of a lack of registrants.Some tasks are not performed properly.Successfully completed tasks also face the problem of long developer registration intervals.Therefore, a developer re-commendation method is needed to quickly find suitable developers for crowdsourcing tasks, shorten the time for developers to register for crowdsourcing tasks, find potential suitable developers and motivate them to register, so as to promote the successful completion of crowdsourcing tasks.A developer recommendation system DEVRec based on the LGBM classification algorithm is proposed in this paper.Firstly, the task-related characteristics, developer-related characteristics, and the relationship between developers and