Apr 14, 2023 · We revisit the so-called positive and negative samples for Variational Autoencoders (VAEs). Based on our analysis and observation, we propose a self-adjusting ...
Apr 17, 2023 · We revisit the so-called positive and negative samples for Variational Autoencoders (VAEs). Based on our analysis and observation, we propose a self-adjusting ...
Oct 24, 2024 · VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation. Authors: Wei Liu.
Top-N recommendation is a common tool to discover interesting items, which ranks the items based on user preference using their interaction history.
Jun 10, 2024 · Top-N recommendation is a common tool to discover interesting items, which ranks the items based on user preference using their interaction ...
Besides, to combine the reconstruction loss function for the positive samples and critical negative samples, we develop a simple yet effective VAEs framework ...
Integrating reconstruction loss functions for positive samples and key negative samples, VAE++ outperformed the VAE-based models by a great margin, as is shown ...
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Apr 5, 2022 · Another means of enabling positive critiquing consists of modeling the positive and negative critiques within the recommender. Although this ...
VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation · Wei LiuLeong Hou U +4 authors. Jian Yin. Computer ...
Revisiting Positive and Negative. Samples in Variational Autoencoders for Top-N Recommendation. In DASFAA. Springer, 563ś573. [109] Yang Liu, Qianzhen Rao ...