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cs.IR2024
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks
Shuai Xiao, Zaifan Jiang
As the last stage of a typical \textit{recommendation system}, \textit{collective recommendation} aims to give the final touches to the recommended items and their layout so as to…
cs.IR2022
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning
Jiarui Jin, Xianyu Chen, Weinan Zhang +5
Modelling the user's multiple behaviors is an essential part of modern e-commerce, whose widely adopted application is to jointly optimize click-through rate (CTR) and conversion r…
cs.IR2022
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation
Jiarui Jin, Xianyu Chen, Yuanbo Chen +5
With the prevalence of live broadcast business nowadays, a new type of recommendation service, called live broadcast recommendation, is widely used in many mobile e-commerce Apps.…