Maksims Volkovs
Maksims Volkovs
Layer6 AI
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TitleCited byYear
Boltzrank: learning to maximize expected ranking gain
MN Volkovs, RS Zemel
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1012009
Continuous data cleaning
M Volkovs, F Chiang, J Szlichta, RJ Miller
2014 IEEE 30th International Conference on Data Engineering, 244-255, 2014
772014
A flexible generative model for preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 21st international conference on World Wide Web, 479-488, 2012
562012
Collaborative ranking with 17 parameters
M Volkovs, RS Zemel
Advances in neural information processing systems, 2294-2302, 2012
542012
Learning to rank with multiple objective functions
KM Svore, MN Volkovs, CJC Burges
Proceedings of the 20th international conference on World wide web, 367-376, 2011
452011
Effective latent models for binary feedback in recommender systems
M Volkovs, GW Yu
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
402015
New learning methods for supervised and unsupervised preference aggregation
MN Volkovs, RS Zemel
The Journal of Machine Learning Research 15 (1), 1135-1176, 2014
382014
Dropoutnet: Addressing cold start in recommender systems
M Volkovs, G Yu, T Poutanen
Advances in Neural Information Processing Systems, 4957-4966, 2017
222017
Learning to rank by aggregating expert preferences
MN Volkovs, H Larochelle, RS Zemel
Proceedings of the 21st ACM international conference on Information and …, 2012
192012
Content-based neighbor models for cold start in recommender systems
M Volkovs, GW Yu, T Poutanen
Proceedings of the Recommender Systems Challenge 2017, 7, 2017
172017
Efficient sampling for bipartite matching problems
M Volkovs, RS Zemel
Advances in Neural Information Processing Systems, 1313-1321, 2012
162012
Context models for web search personalization
M Volkovs
arXiv preprint arXiv:1502.00527, 2015
142015
Two-stage approach to item recommendation from user sessions
M Volkovs
Proceedings of the 2015 International ACM Recommender Systems Challenge, 3, 2015
112015
Methods and Systems for Communicating Social Expression
F Falcone, M Volkovs
US Patent App. 13/345,205, 2012
112012
Loss-sensitive training of probabilistic conditional random fields
MN Volkovs, H Larochelle, RS Zemel
arXiv preprint arXiv:1107.1805, 2011
102011
CRF framework for supervised preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 22nd ACM international conference on Information …, 2013
92013
Two-stage model for automatic playlist continuation at scale
M Volkovs, H Rai, Z Cheng, G Wu, Y Lu, S Sanner
Proceedings of the ACM Recommender Systems Challenge 2018, 9, 2018
82018
ConEx: a system for monitoring queries
C Mishra, M Volkovs
Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007
82007
Supervised crf framework for preference aggregation
MN Volkovs, RS Zemel
International Conference on Information and Knowledge Management (CIKM), 89-98, 2013
42013
Multi-tiered information retrieval training
CJC Burges, KM Svore, M Volkovs
US Patent 10,346,453, 2012
32012
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