Recommendation of software technologies based on collaborative filtering

Tomohiro Akinaga, Naoki Ohsugi, Masateru Tsunoda, Takeshi Kakimoto, Akito Monden, Ken-ichi Matsumoto
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引用次数: 7

Abstract

Software engineers have to select some appropriate development technologies to use in the work; however, engineers sometimes cannot find the appropriate technologies because there are vast amount of options today. To solve this problem, we propose a software technology recommendation method based on collaborative filtering (CF). In the proposed method, at first, questionnaires are collected from concerned engineers about their technical interest. Next, similarities between an active engineer who gets recommendation and the other engineers are calculated according to the technical interests. Then, some similar engineers are selected for the active engineer. At last, some technologies are recommended which attract the similar engineers. An experimental evaluation showed that the proposed method can make accurate recommendations than that of a naive (non-CF) method.
基于协同过滤的软件技术推荐
软件工程师必须在工作中选择一些合适的开发技术;然而,工程师有时找不到合适的技术,因为今天有太多的选择。为了解决这个问题,我们提出了一种基于协同过滤(CF)的软件技术推荐方法。在本文提出的方法中,首先对相关工程师的技术兴趣进行问卷调查。其次,根据技术兴趣计算获得推荐的活跃工程师与其他工程师之间的相似度。然后,选择一些相似的工程师作为主动工程师。最后,提出了一些技术建议,以吸引同类工程师的注意。实验结果表明,该方法比原始(非cf)方法的推荐精度更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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