Multiple Connectivity Views for Session-based Recommendation-Reference-Cited by-同舟云学术

Multiple Connectivity Views for Session-based Recommendation

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Yang Yaming¹^ORCID,Zhang Jieyu²^ORCID,Wang Yujing³^ORCID,Miao Zheng³^ORCID,Tong Yunhai⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, School of Artificial Intelligence, Peking University, China

2. University of Washington, China

3. School of Artificial Intelligence, Peking University, China

4. Peking University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608861

Reference30 articles.

1. James Bergstra , Rémi Bardenet , Yoshua Bengio , and Balázs Kégl . 2011. Algorithms for hyper-parameter optimization. Advances in neural information processing systems 24 ( 2011 ). James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. Advances in neural information processing systems 24 (2011).

2. James Bergstra and Yoshua Bengio . 2012. Random search for hyper-parameter optimization.Journal of machine learning research 13, 2 ( 2012 ). James Bergstra and Yoshua Bengio. 2012. Random search for hyper-parameter optimization.Journal of machine learning research 13, 2 (2012).

3. Handling Information Loss of Graph Neural Networks for Session-based Recommendation

4. The YouTube video recommendation system

5. Katharina Eggensperger , Matthias Feurer , Frank Hutter , James Bergstra , Jasper Snoek , Holger Hoos , Kevin Leyton-Brown , 2013 . Towards an empirical foundation for assessing bayesian optimization of hyperparameters . In NIPS workshop on Bayesian Optimization in Theory and Practice, Vol. 10 . Katharina Eggensperger, Matthias Feurer, Frank Hutter, James Bergstra, Jasper Snoek, Holger Hoos, Kevin Leyton-Brown, 2013. Towards an empirical foundation for assessing bayesian optimization of hyperparameters. In NIPS workshop on Bayesian Optimization in Theory and Practice, Vol. 10.