Sequential recommendation with user memory networks

User preferences are usually dynamic in real-world recommender systems, and a user»s historical behavior records may not be equally important when predicting his/her future interests. Existing recommendation algorithms -- including both shallow and deep approaches -- usually embed a user»s historica...

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Main Authors: CHEN, Xu, XU, Hongteng, ZHANG, Yongfeng, TANG, Jiaxi, CAO, Yixin, QIN, Zheng, ZHA, Hongyuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/7467
https://ink.library.smu.edu.sg/context/sis_research/article/8470/viewcontent/3159652.3159668.pdf
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Institution: Singapore Management University
Language: English