Geek Talents:Who are the Top Experts on GitHub and Stack Overflow?

作     者：Yijun Tian Waii Ng Jialiang Cao Suzanne McIntosh 

作者机构：New York UniversityCourant Institute of Mathematical SciencesNew York10012USA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2019年第61卷第8期

页      面：465-479页

核心收录：

学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学] 

基　　金：We thank NYU High Performance Computing (HPC) for their support and Cloudera for providing the CDH Hadoop distribution through the Cloudera Academic Partnership 

主　　题：Developer recommendation collaborative filtering stack overflow GitHub 

摘      要：In the field of Computer Science,software developers need to use a wide array of social collaborative platforms for learning and *** most popular ones are GitHub and Stack *** platforms only support search queries to extract relevant repository information from GitHub,or questions and answers from Stack *** ignores the valuable coder-related part-who are the top experts(geek talents)in a specific area?This information is important to companies,open source projects,and to those who want to learn from an expert role ***,how to find the right developers is quite a crucial yet challenging *** of the current works mainly focus on recommending experts in a particular software engineering task and ignore the relationship between developers within different *** this paper,we propose a novel technique that automatically identifies geek talents from GitHub,Stack Overflow,and across both *** results show that our work performs well at recommending proper developers in diverse areas.