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Apr 25, 2022 · In our model, the samples are generated based on a reinforcement learning strategy, where the reward is related with both of the above aspects.
Apr 25, 2022 · We propose a novel generative session-based recommendation framework. The main building block of our idea is to develop a generator to simulate user sequential ...
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What is session-based recommendation?
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Dec 21, 2023 · We discuss different deep generative models in SBRS in this chapter, such as autoencoders (AE), generative adversarial networks (GAN), and flow-based models ( ...
Mar 31, 2024 · Through this comprehensive and multi-disciplinary survey, we aim to connect the key advancements in RS using Generative Models (Gen-RecSys).
Mar 18, 2024 · This paper highlights the necessity of modeling future context in session-based recommender systems and develops a general neural network ...
Session-based recommendation via flow-based deep generative ...
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May 28, 2020 · It is a kind of sequence learning/recommendation task where longer-term user historical activities are usually unavailable and the ...
The recommendation method based on user sessions is mainly to model sessions as sequences in the assumption that user behaviors are independent and identically ...
A curated list of Generative Recommender Systems (Paper & Code) - jihoo-kim/Awesome-Generative-RecSys.
Transformers4Rec is an open-source library that streamlines building pipelines for session-based recommendations and is included with NVIDIA Merlin.