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cs.IR2023
Learning to Personalize Recommendation based on Customers' Shopping Intents
Xin Shen, Jiaying Shi, Sungro Yoon +4
Understanding the customers' high level shopping intent, such as their desire to go camping or hold a birthday party, is critically important for an E-commerce platform; it can hel…
cs.IR2022
Coarse-to-Fine Sparse Sequential Recommendation
Jiacheng Li, Tong Zhao, Jin Li +5
Sequential recommendation aims to model dynamic user behavior from historical interactions. Self-attentive methods have proven effective at capturing short-term dynamics and long-t…