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: | , , , , , , |
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Format: | text |
Language: | English |
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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 |