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12th Asia-Pacific Software Engineering Conference (APSEC'05)
Recommendation of Software Technologies Based on Collaborative Filtering
Taipei, Taiwan
December 15-December 17
ISBN: 0-7695-2465-6
ASCII Text
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Tomohiro Akinaga, Naoki Ohsugi, Masateru Tsunoda, Takeshi Kakimoto, Akito Monden, Ken-ichi Matsumoto, "Recommendation of Software Technologies Based on Collaborative Filtering," Asia-Pacific Software Engineering Conference, pp. 209-216, 12th Asia-Pacific Software Engineering Conference (APSEC'05), 2005.
 
 
BibTex
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@article{ 10.1109/APSEC.2005.94,
author = {Tomohiro Akinaga and Naoki Ohsugi and Masateru Tsunoda and Takeshi Kakimoto and Akito Monden and Ken-ichi Matsumoto},
title = {Recommendation of Software Technologies Based on Collaborative Filtering},
journal ={Asia-Pacific Software Engineering Conference},
volume = {0},
year = {2005},
issn = {1530-1362},
pages = {209-216},
doi = {http://doi.ieeecomputersociety.org/10.1109/APSEC.2005.94},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Asia-Pacific Software Engineering Conference
TI - Recommendation of Software Technologies Based on Collaborative Filtering
SN - 1530-1362
SP209
EP216
A1 - Tomohiro Akinaga,
A1 - Naoki Ohsugi,
A1 - Masateru Tsunoda,
A1 - Takeshi Kakimoto,
A1 - Akito Monden,
A1 - Ken-ichi Matsumoto,
PY - 2005
KW - information retrieval
KW - similarity computation algorithms
KW - recommender systems
KW - education
VL - 0
JA - Asia-Pacific Software Engineering Conference
ER -
 
Tomohiro Akinaga, Nara Institute of Science and Technology
Naoki Ohsugi, Nara Institute of Science and Technology
Masateru Tsunoda, Nara Institute of Science and Technology
Takeshi Kakimoto, Nara Institute of Science and Technology
Akito Monden, Nara Institute of Science and Technology
Ken-ichi Matsumoto, Nara Institute of Science and Technology
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 na?ve (non-CF) method.
Index Terms:
information retrieval, similarity computation algorithms, recommender systems, education
Citation:
Tomohiro Akinaga, Naoki Ohsugi, Masateru Tsunoda, Takeshi Kakimoto, Akito Monden, Ken-ichi Matsumoto, "Recommendation of Software Technologies Based on Collaborative Filtering," apsec, pp.209-216, 12th Asia-Pacific Software Engineering Conference (APSEC'05), 2005
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