Hierarchical Latent Relation Modeling for Collaborative Metric Learning-Reference-Cited by-同舟云学术

Hierarchical Latent Relation Modeling for Collaborative Metric Learning

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:Fifteenth ACM Conference on Recommender Systems
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Author:

Tran Viet-Anh¹,Salha-Galvan Guillaume¹,Hennequin Romain¹,Moussallam Manuel¹

Affiliation:

1. Deezer, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460231.3474230

Reference38 articles.

1. Context-aware movie recommendation based on signal processing and machine learning

2. Recommender systems survey

3. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In Advances in Neural Information Processing Systems. 1–9. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In Advances in Neural Information Processing Systems. 1–9.

4. A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

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