Tao Ye

Orcid: 0009-0007-4075-1887

Affiliations:
  • Amazon, San Francisco, CA, USA


According to our database1, Tao Ye authored at least 12 papers between 2013 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
International Workshop on Online and Adaptive Recommender Systems (OARS 2024).
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
MuRS: Music Recommender Systems Workshop.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

3rd Workshop on Online and Adaptive Recommender Systems (OARS).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
2nd Workshop on Online and Adaptive Recommender Systems (OARS).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Learning a Voice-based Conversational Recommender using Offline Policy Optimization.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Workshop on Online and Adaptative Recommender Systems (OARS).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2018
Modeling Musical Taste Evolution with Recurrent Neural Networks.
CoRR, 2018

2017
LSRS'17: Workshop on Large-Scale Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
LSRS'16: Workshop on Large-Scale Recommender Systems.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
LSRS'15: Workshop on Large-Scale Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
Second workshop on large-scale recommender systems: research and best practice (LSRS 2014).
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
First workshop on large-scale recommender systems: research and best practice(LSRS 2013).
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013


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