Web: http://arxiv.org/abs/2209.06644

Sept. 15, 2022, 1:11 a.m. | Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu

cs.LG updates on arXiv.org arxiv.org

Sequential recommender systems have shown effective suggestions by capturing
users' interest drift. There have been two groups of existing sequential
models: user- and item-centric models. The user-centric models capture
personalized interest drift based on each user's sequential consumption
history, but do not explicitly consider whether users' interest in items
sustains beyond the training time, i.e., interest sustainability. On the other
hand, the item-centric models consider whether users' general interest sustains
after the training time, but it is not personalized. In …

arxiv personalized recommendation sustainability

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