Maksims Volkovs

2022

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MCL: Mixed-Centric Loss for Collaborative Filtering.
Zhaolin Gao|Zhaoyue Cheng|Felipe Pérez|Jianing Sun|Maksims Volkovs
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

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HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering.
Jianing Sun|Zhaoyue Cheng|Saba Zuberi|Felipe Pérez|Maksims Volkovs
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2019

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Noise Contrastive Estimation for One-Class Collaborative Filtering.
Ga Wu|Maksims Volkovs|Chee Loong Soon|Scott Sanner|Himanshu Rai
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.

2015

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Effective Latent Models for Binary Feedback in Recommender Systems.
Maksims Volkovs|Guangwei Yu
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2013

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CRF framework for supervised preference aggregation.
Maksims Volkovs|Richard S. Zemel
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

2012

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Learning to rank by aggregating expert preferences.
Maksims Volkovs|Hugo Larochelle|Richard S. Zemel
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012
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A flexible generative model for preference aggregation.
Maksims Volkovs|Richard S. Zemel
Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012

2011

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Learning to rank with multiple objective functions.
Krysta M. Svore|Maksims Volkovs|Christopher J. C. Burges
Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011