Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems-Reference-Cited by-同舟云学术

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

Published:2020-10-19 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Ferrari Dacrema Maurizio¹,Parroni Federico¹,Cremonesi Paolo¹,Jannach Dietmar²

Affiliation:

1. Politecnico di Milano, Milano, Italy

2. University of Klagenfurt, Klagenfurt, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3411901

Reference49 articles.

1. Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario

2. Improvements that don't add up

3. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv:1803.01271. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv:1803.01271.

4. Random walks in recommender systems

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