TY - GEN
T1 - An Interpretable Neural Network Model for Bundle Recommendations Doctoral Symposium, Extended Abstract
AU - Li, Xinyi
AU - Malthouse, Edward C.
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/9/12
Y1 - 2022/9/12
N2 - A users' preference for a bundle-a set of items that can be purchased together-can be expressed by the utility of this bundle to the user. The multi-attribute utility theory motivate us to characterize the utility of a bundle using its attributes to improve the personalized bundle recommendation systems. This extended abstract for the Doctoral Symposium describes my PhD project for studying the utility of a bundle using its attributes. The steps taken and some preliminary results are presented, with an outline of the future plans.
AB - A users' preference for a bundle-a set of items that can be purchased together-can be expressed by the utility of this bundle to the user. The multi-attribute utility theory motivate us to characterize the utility of a bundle using its attributes to improve the personalized bundle recommendation systems. This extended abstract for the Doctoral Symposium describes my PhD project for studying the utility of a bundle using its attributes. The steps taken and some preliminary results are presented, with an outline of the future plans.
KW - Bundle recommendation
KW - Bundle utility
KW - Recommender systems
UR - http://www.scopus.com/inward/record.url?scp=85139548566&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139548566&partnerID=8YFLogxK
U2 - 10.1145/3523227.3547423
DO - 10.1145/3523227.3547423
M3 - Conference contribution
AN - SCOPUS:85139548566
T3 - RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
SP - 722
EP - 723
BT - RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
PB - Association for Computing Machinery, Inc
T2 - 16th ACM Conference on Recommender Systems, RecSys 2022
Y2 - 18 September 2022 through 23 September 2022
ER -