May 17, 2021 · This paper designs a dating recommendation system based on reinforcement learning and generative adversarial network (GAN), Including its scheme ...
Reinforcement Learning (RL) methods are well known techniques for model-free control. This paper proposes a model-free controller for WDNs based on RL methods ...
Design of Friends-Making Recommendation System Based on. Reinforcement Learning and Generative Adversarial Network. ICITEE2020, December 03–05, 2020, Changde ...
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Sep 8, 2019 · Concretely, in this paper, we propose an end-to-end social recommendation framework based on Generative Adversarial Nets (GAN). The framework is ...
Mar 22, 2023 · It includes social neighborhood aggregation layer, friends filtering layer and multi-angle social influence layer. Take the user u as an example ...
[45] proposed an end-to-end adversarial learning framework called TagRec, to make tag recommendation. TagRec features a generator that takes image ...
Feb 15, 2021 · A novel top-N interactive recommender system based on deep reinforcement learning is proposed. •. The interactions between recommender ...
Mar 22, 2023 · On the one hand, the generator selects friends who are similar to the user's personal preferences and considers the influence of friends on ...
Missing: Design Reinforcement
Feb 15, 2024 · Design of Friends-Making Recommendation System Based on Reinforcement Learning and Generative Adversarial Network. Conference Paper. Dec 2020.
Mar 12, 2019 · There's nothing about a recommendation system that absolutely necessitates some kind of machine learning. Indeed, I've seen decision systems ...