Apr 25, 2022 · We propose a novel framework of VAE for collaborative filtering using multiple experts and stochastic expert selection.

While we propose this framework in the context of collaborative filtering, the proposed stochastic expert technique can be used to enhance VAEs in general ...

Apr 29, 2022 · ABSTRACT. Motivated by the recent successes of deep generative models used for collaborative filtering, we propose a novel framework of VAE.

Duration: 17:15
Posted: Sep 12, 2022

Empirical results on several real-world datasets show that the proposed model outperforms conventional VAE and other comparative collaborative filtering models ...

Stochastic-Expert Variational Autoencoder for Collaborative Filtering ; WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 ...

Stochastic-Expert Variational Autoencoder for Collaborative Filtering · Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering.

Our paper 'Stochastic-Expert Variational Autoencoder for Collaborative Filtering' has been accepted to TheWebConf 2022 (WWW 2022). Teaching. Data Structure ...

Jan 10, 2024 · In this paper, we propose a novel Dual Disentangled Variational AutoEncoder (DualVAE) for collaborative recommendation with implicit feedback, ...

Apr 1, 2024 · In this paper, we propose a robust multi-modal recommendation approach that accounts for different levels of task-irrelevant noise across modalities.