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Works (6)

LLMs for User Interest Exploration in Large-scale Recommendation Systems

2024-10-08 | Conference paper
DOI: 10.1145/3640457.3688161
Contributors: Jianling Wang; Haokai Lu; Yifan Liu; He Ma; Yueqi Wang; Yang Gu; Shuzhou Zhang; Ningren Han; Shuchao Bi; Lexi Baugher et al.
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Multi-Task Neural Linear Bandit for Exploration in Recommender Systems

2024-08-25 | Conference paper
DOI: 10.1145/3637528.3671649
Contributors: Yi Su; Haokai Lu; Yuening Li; Liang Liu; Shuchao Bi; Ed H. Chi; Minmin Chen
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Large Language Models as Data Augmenters for Cold-Start Item Recommendation

2024-05-13 | Conference paper
DOI: 10.1145/3589335.3651532
Contributors: Jianling Wang; Haokai Lu; James Caverlee; Ed H. Chi; Minmin Chen
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Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs

2024-03-04 | Conference paper
DOI: 10.1145/3616855.3635749
Contributors: Jianling Wang; Haokai Lu; Minmin Chen
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Long-Term Value of Exploration: Measurements, Findings and Algorithms

2024-03-04 | Conference paper
DOI: 10.1145/3616855.3635833
Contributors: Yi Su; Xiangyu Wang; Elaine Ya Le; Liang Liu; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi et al.
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Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

2023-08-06 | Conference paper
DOI: 10.1145/3580305.3599826
Contributors: Jianling Wang; Haokai Lu; Sai Zhang; Bart Locanthi; Haoting Wang; Dylan Greaves; Benjamin Lipshitz; Sriraj Badam; Ed H. Chi; Cristos J. Goodrow et al.
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