5 citations · 5 across the 6 of their papers we have counts for
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cs.IR2023★ 5 cited
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Jiacheng Li, Ming Wang, Jin Li +4
Sequential recommendation aims to model dynamic user behavior from historical interactions. Existing methods rely on either explicit item IDs or general textual features for sequen…
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…