Recommendation of software technologies based on collaborative filtering

被引：1

作者：

Akinaga, T ^{[1
]}

Ohsugi, N ^{[1
]}

Tsunoda, M ^{[1
]}

Kakimoto, T ^{[1
]}

Monden, A ^{[1
]}

Matsumoto, K ^{[1
]}

机构：

[1] Nara Inst Sci & Technol, Grad Sch Informat Sci, Nara 6300192, Japan

来源：

12TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE, PROCEEDINGS | 2005年

关键词：

information retrieval; similarity computation algorithms; recommender systems; education;

D O I：

10.1109/APSEC.2005.94

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：209 / 214

页数：6

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