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 | Guang Wei 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

doi dblp
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