TY - GEN
T1 - Document recommendation with implicit feedback based on matrix factorization and topic model
AU - Lai, Chin Hui
AU - Liu, Duen-Ren
AU - Lin, Siao Rong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/22
Y1 - 2018/6/22
N2 - Recommender systems have been applied in many domains to solve the information-overload problem, and most of them make recommendations based on explicit data which expressed ratings in different scores. However, there are a lot of implicit data in the real world, such as users' purchase history, click history, browsing activity and so on, and it is difficult to find users' preferences based on this kind of data. In this work, we proposed a novel recommendation method, which incorporates topic model and matrix factorization. The content of documents and similar users' preferences are used to predict the negative and positive examples. The proposed approach achieves better performance than other recommender systems with implicit feedback.
AB - Recommender systems have been applied in many domains to solve the information-overload problem, and most of them make recommendations based on explicit data which expressed ratings in different scores. However, there are a lot of implicit data in the real world, such as users' purchase history, click history, browsing activity and so on, and it is difficult to find users' preferences based on this kind of data. In this work, we proposed a novel recommendation method, which incorporates topic model and matrix factorization. The content of documents and similar users' preferences are used to predict the negative and positive examples. The proposed approach achieves better performance than other recommender systems with implicit feedback.
KW - Implicit Feedback
KW - Latent Dirichlet Allocation
KW - Matrix Factorization
KW - Recommender System
KW - Topic Modeling
UR - http://www.scopus.com/inward/record.url?scp=85050286071&partnerID=8YFLogxK
U2 - 10.1109/ICASI.2018.8394337
DO - 10.1109/ICASI.2018.8394337
M3 - Conference contribution
AN - SCOPUS:85050286071
T3 - Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
SP - 62
EP - 65
BT - Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018
A2 - Lam, Artde Donald Kin-Tak
A2 - Prior, Stephen D.
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Applied System Innovation, ICASI 2018
Y2 - 13 April 2018 through 17 April 2018
ER -