TY - GEN
T1 - Predicting new adopters via socially-aware neural graph collaborative filtering
AU - Tsai, Yu Che
AU - Guan, Muzhi
AU - Li, Cheng Te
AU - Cha, Meeyoung
AU - Li, Yong
AU - Wang, Yue
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - We predict new adopters of specific items by proposing S-NGCF, a socially-aware neural graph collaborative filtering model. This model uses information about social influence and item adoptions; then it learns the representation of user-item relationships via a graph convolutional network. Experiments show that social influence is essential for adopter prediction. S-NGCF outperforms the prediction of new adopters compared to state-of-the-art methods by 18%.
AB - We predict new adopters of specific items by proposing S-NGCF, a socially-aware neural graph collaborative filtering model. This model uses information about social influence and item adoptions; then it learns the representation of user-item relationships via a graph convolutional network. Experiments show that social influence is essential for adopter prediction. S-NGCF outperforms the prediction of new adopters compared to state-of-the-art methods by 18%.
UR - http://www.scopus.com/inward/record.url?scp=85077771021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077771021&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34980-6_18
DO - 10.1007/978-3-030-34980-6_18
M3 - Conference contribution
AN - SCOPUS:85077771021
SN - 9783030349790
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 155
EP - 162
BT - Computational Data and Social Networks - 8th International Conference, CSoNet 2019, Proceedings
A2 - Tagarelli, Andrea
A2 - Tong, Hanghang
PB - Springer
T2 - 8th International Conference on Computational Data and Social Networks, CSoNet 2019
Y2 - 18 November 2019 through 20 November 2019
ER -