24 citations · 24 across the 3 of their papers we have counts for
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cs.IR2024
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation
Kaiming Shen, Xichen Ding, Zixiang Zheng +4
The modeling of users' behaviors is crucial in modern recommendation systems. A lot of research focuses on modeling users' lifelong sequences, which can be extremely long and somet…
cs.IR2023★ 24 cited
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario
Yuqi Gong, Xichen Ding, Yehui Su +3
In modern commercial search engines and recommendation systems, data from multiple domains is available to jointly train the multi-domain model. Traditional methods train multi-dom…