TY - JOUR
T1 - SSL-STR
T2 - 2019 IEEE Global Communications Conference, GLOBECOM 2019
AU - Hu, Zhengdi
AU - Xu, Guangquan
AU - Zheng, Xi
AU - Liu, Jiang
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019
Y1 - 2019
N2 - Trust is widely applied in recommender systems to improve recommendation performance by alleviating well-known problems, such as cold start, data sparsity, and so on. However, trust data itself also faces sparse problems. To solve these problems, we propose a novel sparse trust recommendation model, SSL-STR. Specifically, we decompose the aspects influencing trust-building into finer-grained factors, and combine these factors to mine the implicit sparse trust relationships among users by employing the Transductive Support Vector Machine algorithm. Then we extend SVD++ model with social trust and sparse trust information for rating prediction in the recommendation system. Experiments show that our SSL-STR improves the recommendation accuracy by up to 4.3%.
AB - Trust is widely applied in recommender systems to improve recommendation performance by alleviating well-known problems, such as cold start, data sparsity, and so on. However, trust data itself also faces sparse problems. To solve these problems, we propose a novel sparse trust recommendation model, SSL-STR. Specifically, we decompose the aspects influencing trust-building into finer-grained factors, and combine these factors to mine the implicit sparse trust relationships among users by employing the Transductive Support Vector Machine algorithm. Then we extend SVD++ model with social trust and sparse trust information for rating prediction in the recommendation system. Experiments show that our SSL-STR improves the recommendation accuracy by up to 4.3%.
KW - Recommendation system
KW - Sparse trust
KW - SSL-STR
KW - SVD++
KW - Transductive Support Vector Machine
UR - http://www.scopus.com/inward/record.url?scp=85081983272&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081983272&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM38437.2019.9014085
DO - 10.1109/GLOBECOM38437.2019.9014085
M3 - Conference article
AN - SCOPUS:85081983272
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
M1 - 9014085
Y2 - 9 December 2019 through 13 December 2019
ER -