Temporal heterogeneous interaction graph embedding for next-item recommendation

In the scenario of next-item recommendation, previous methods attempt to model user preferences by capturing the evolution of sequential interactions. However, their sequential expression is often limited, without modeling complex dynamics that short-term demands can often be influenced by long-term...

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Main Authors: JI, Yugang, YIN, Mingyang, FANG, Yuan, YANG, Hongxia, WANG, Xiangwei, JIA, Tianrui, SHI, Chuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/5157
https://ink.library.smu.edu.sg/context/sis_research/article/6160/viewcontent/ECML20_THIGE.pdf
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Institution: Singapore Management University
Language: English