TY - GEN
T1 - Recommendation of software technologies based on collaborative filtering
AU - Akinaga, Tomohiro
AU - Ohsugi, Naoki
AU - Tsunoda, Masateru
AU - Kakimoto, Takeshi
AU - Monden, Akito
AU - Matsumoto, Ken Ichi
PY - 2005
Y1 - 2005
N2 - 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 naïve (non-CF) method.
AB - 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 naïve (non-CF) method.
KW - Education
KW - Information retrieval
KW - Recommender systems
KW - Similarity computation algorithms
UR - http://www.scopus.com/inward/record.url?scp=33847317449&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847317449&partnerID=8YFLogxK
U2 - 10.1109/APSEC.2005.94
DO - 10.1109/APSEC.2005.94
M3 - Conference contribution
AN - SCOPUS:33847317449
SN - 0769524656
SN - 9780769524658
T3 - Proceedings - Asia-Pacific Software Engineering Conference, APSEC
SP - 209
EP - 214
BT - Proceedings - 12th Asia-Pacific Software Engineering Conference, APSEC'05
T2 - 12th Asia-Pacific Software Engineering Conference, APSEC'05
Y2 - 15 December 2005 through 17 December 2005
ER -