Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation-Reference-Cited by-同舟云学术

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation

Published:2020-09-22 Issue: Volume: Page:
ISSN:
Container-title:Fourteenth ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Zhang Yin¹,Zhu Ziwei¹,He Yun¹,Caverlee James¹

Affiliation:

1. Texas A&M University, United States

Funder

DARPA

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383313.3412239

Reference36 articles.

1. Alexander A Alemi Ian Fischer Joshua V Dillon and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410(2016). Alexander A Alemi Ian Fischer Joshua V Dillon and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410(2016).

2. Chris Burgess and Hyunjik Kim. 2018. 3D Shapes Dataset. https://github.com/deepmind/3dshapes-dataset/. Chris Burgess and Hyunjik Kim. 2018. 3D Shapes Dataset. https://github.com/deepmind/3dshapes-dataset/.

3. Christopher P Burgess Irina Higgins Arka Pal Loic Matthey Nick Watters Guillaume Desjardins and Alexander Lerchner. 2018. Understanding disentangling in β-VAE. arXiv preprint arXiv:1804.03599(2018). Christopher P Burgess Irina Higgins Arka Pal Loic Matthey Nick Watters Guillaume Desjardins and Alexander Lerchner. 2018. Understanding disentangling in β-VAE. arXiv preprint arXiv:1804.03599(2018).

4. Tian Qi Chen Xuechen Li Roger B Grosse and David K Duvenaud. 2018. Isolating sources of disentanglement in variational autoencoders. In Advances in Neural Information Processing Systems. 2610–2620. Tian Qi Chen Xuechen Li Roger B Grosse and David K Duvenaud. 2018. Isolating sources of disentanglement in variational autoencoders. In Advances in Neural Information Processing Systems. 2610–2620.

5. Aspect-Aware Latent Factor Model

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