Tag recommendation for open source software
Tag recommendation for open source software作者机构：National Laboratory for Parallel and Distributed Processing College of Computer Department of Computer Science The University of Western Ontario London N6A5B7 Canada Academy of Equipment Beijing 101400 China
出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)
年 卷 期：2014年第8卷第1期
页 面：69-82页
核心收录：
学科分类：0501[文学-中国语言文学] 050103[文学-汉语言文字学] 05[文学] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：国家自然科学基金 国家863计划 the Postgraduate Innovation Fund of University of Defense Technology of China
主 题：open source software semantic graph tag rec-ommendation
摘 要：Nowadays open source software becomes highly popular and is of great importance for most software engi- neering activities. To facilitate software organization and re- trieval, tagging is extensively used in open source communi- ties. However, finding the desired software through tags in these communities such as Freecode and ohloh is still chal- lenging because of tag insufficiency. In this paper, we propose TRG （tag recommendation based on semantic graph）, a novel approach to discovering and enriching tags of open source software. Firstly, we propose a semantic graph to model the semantic correlations between tags and the words in software descriptions. Then based on the graph, we design an effec- tive algorithm to recommend tags for software. With com- prehensive experiments on large-scale open source software datasets by comparing with several typical related works, we demonstrate the effectiveness and efficiency of our method in recommending proper tags.
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