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Ilya Markov
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2020 – today
- 2023
- [i10]Mikhail Masliaev, Ilya Markov, Alexander Hvatov:
Towards stable real-world equation discovery with assessing differentiating quality influence. CoRR abs/2311.05787 (2023) - 2022
- [c32]Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu:
ParClick: A Scalable Algorithm for EM-based Click Models. WWW 2022: 392-400 - 2021
- [j8]Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, Vitalii Aksenov, Dan Alistarh, Daniel M. Roy:
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization. J. Mach. Learn. Res. 22: 114:1-114:43 (2021) - [c31]Ali Vardasbi
, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CIKM 2021: 1869-1878 - [i9]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CoRR abs/2108.08538 (2021) - 2020
- [j7]Héctor Javier Hernández, Hiram Calvo, Eduardo López, Juan Pablo Posadas-Durán, Ilya Markov, Grigori Sidorov:
N-gramas de sílabas vs. n-gramas de caracteres para la tarea de atribución de autoría en un corpus multi-tema. Res. Comput. Sci. 149(6): 115-121 (2020) - [j6]Yi-Fan Chen, Yang Wang
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. ACM Trans. Inf. Syst. 38(2): 12:1-12:33 (2020) - [j5]Rolf Jagerman
Safe Exploration for Optimizing Contextual Bandits. ACM Trans. Inf. Syst. 38(3): 24:1-24:23 (2020) - [j4]Chang Li
MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation. ACM Trans. Inf. Syst. 38(4): 40:1-40:28 (2020) - [c30]Ali Vardasbi
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. SIGIR 2020: 2089-2092 - [i8]Rolf Jagerman, Ilya Markov, Maarten de Rijke:
Safe Exploration for Optimizing Contextual Bandits. CoRR abs/2002.00467 (2020) - [i7]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. CoRR abs/2005.11938 (2020)
2010 – 2019
- 2019
- [c29]Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi:
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UAI 2019: 196-206 - [c28]Rolf Jagerman
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM 2019: 447-455 - [c27]Bram van den Akker, Ilya Markov, Maarten de Rijke
ViTOR: Learning to Rank Webpages Based on Visual Features. WWW 2019: 3279-3285 - [i6]Bram van den Akker, Ilya Markov, Maarten de Rijke:
ViTOR: Learning to Rank Webpages Based on Visual Features. CoRR abs/1903.02939 (2019) - 2018
- [j3]Ilya Markov, Maarten de Rijke
What Should We Teach in Information Retrieval? SIGIR Forum 52(2): 19-39 (2018) - [c26]Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke
Calibration: A Simple Way to Improve Click Models. CIKM 2018: 1503-1506 - [c25]Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke
A Click Sequence Model for Web Search. SIGIR 2018: 45-54 - [c24]Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke
Manifold Learning for Rank Aggregation. WWW 2018: 1735-1744 - [i5]Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke:
A Click Sequence Model for Web Search. CoRR abs/1805.03411 (2018) - [i4]Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi:
BubbleRank: Safe Online Learning to Rerank. CoRR abs/1806.05819 (2018) - [i3]Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi:
Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation. CoRR abs/1812.04412 (2018) - [i2]Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke:
Online Learning to Rank with List-level Feedback for Image Filtering. CoRR abs/1812.04910 (2018) - 2017
- [c23]Ilya Markov, Alexey Borisov, Maarten de Rijke
Online Expectation-Maximization for Click Models. CIKM 2017: 2195-2198 - [c22]Stepan Malkevich, Ilya Markov, Elena Michailova, Maarten de Rijke
Evaluating and Analyzing Click Simulation in Web Search. ICTIR 2017: 281-284 - [i1]Svitlana Vakulenko, Ilya Markov, Maarten de Rijke:
Conversational Exploratory Search via Interactive Storytelling. CoRR abs/1709.05298 (2017) - 2016
- [c21]Takehiro Yamamoto, Yiqun Liu, Min Zhang, Zhicheng Dou, Ke Zhou, Ilya Markov, Makoto P. Kato, Hiroaki Ohshima, Sumio Fujita:
Overview of the NTCIR-12 IMine-2 Task. NTCIR 2016 - [c20]Alexey Borisov, Ilya Markov, Maarten de Rijke
A Context-aware Time Model for Web Search. SIGIR 2016: 205-214 - [c19]Aleksandr Chuklin, Ilya Markov, Maarten de Rijke
Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial. WSDM 2016: 689-690 - [c18]Alexey Borisov, Ilya Markov, Maarten de Rijke
A Neural Click Model for Web Search. WWW 2016: 531-541 - [e1]Pavel Braslavski, Ilya Markov, Panos M. Pardalos, Yana Volkovich, Dmitry I. Ignatov, Sergei Koltsov, Olessia Koltsova:
Information Retrieval - 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers. Communications in Computer and Information Science 573, Springer 2016, ISBN 978-3-319-41717-2 [contents] - 2015
- [b1]Aleksandr Chuklin, Ilya Markov, Maarten de Rijke
Click Models for Web Search. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2015, ISBN 978-3-031-01166-5 - [j2]Pavel Braslavski, Ilya Markov, Panos M. Pardalos, Yana Volkovich, Sergei Koltsov, Olessia Koltsova, Dmitry I. Ignatov:
9th Russian Summer School in Information Retrieval (RuSSIR 2015). SIGIR Forum 49(2): 72-79 (2015) - [c17]Artem Grotov, Aleksandr Chuklin, Ilya Markov, Luka Stout, Finde Xumara, Maarten de Rijke
A Comparative Study of Click Models for Web Search. CLEF 2015: 78-90 - [c16]Yaser Norouzzadeh Ravari, Ilya Markov, Artem Grotov, Maarten Clements, Maarten de Rijke
User Behavior in Location Search on Mobile Devices. ECIR 2015: 728-733 - [c15]Aleksandr Chuklin, Ilya Markov, Maarten de Rijke:
Advanced Click Models and their Applications to IR: SIGIR 2015 Tutorial. SIGIR 2015: 1111-1112 - [c14]Aleksandr Chuklin, Ilya Markov, Maarten de Rijke:
An Introduction to Click Models for Web Search: SIGIR 2015 Tutorial. SIGIR 2015: 1113-1115 - 2014
- [j1]Ilya Markov, Fabio Crestani
Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource Selection. ACM Trans. Inf. Syst. 32(2): 9:1-9:37 (2014) - [c13]Ilya Markov, Mark James Carman
Towards Risk-Aware Resource Selection. AIRS 2014: 148-159 - [c12]Ilya Markov, Eugene Kharitonov, Vadim Nikulin, Pavel Serdyukov, Maarten de Rijke
Vertical-Aware Click Model-Based Effectiveness Metrics. CIKM 2014: 1867-1870 - [c11]Anastasia Giachanou, Fabio Crestani, Ilya Markov:
Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track. TREC 2014 - 2013
- [c10]Ilya Markov, Leif Azzopardi, Fabio Crestani
Reducing the Uncertainty in Resource Selection. ECIR 2013: 507-519 - [c9]Ilya Markov, Avi Arampatzis
On CORI Results Merging. ECIR 2013: 752-755 - [c8]Fabio Crestani
Distributed Information Retrieval and Applications. ECIR 2013: 865-868 - 2012
- [c7]Ilya Markov, Avi Arampatzis
Unsupervised linear score normalization revisited. SIGIR 2012: 1161-1162 - 2011
- [c6]Ilya Markov:
Modeling document scores for distributed information retrieval. SIGIR 2011: 1321-1322 - 2010
- [c5]Ilya Markov, Fabio Crestani
Defining the Dynamicity and Diversity of Text Collections. ECDL 2010: 474-477
2000 – 2009
- 2009
- [c4]Mostafa Keikha, Mark James Carman, Robert Gwadera, Shima Gerani, Ilya Markov, Giacomo Inches, Az Azrinudin Alidin, Fabio Crestani:
University of Lugano at TREC 2009 Blog Track. TREC 2009 - 2008
- [c3]Ilya Markov, Natalia Vassilieva:
Query Classification in Content-Based Image Retrieval. DB&IS 2008: 281-288 - [c2]Ilya Markov, Natalia Vassilieva:
Image Retrieval: Color and Texture Combining Based on Query-Image. ICISP 2008: 430-438 - 2007
- [c1]Ilya Markov:
VP-tree: Content-Based Image Indexing. SYRCoDIS 2007
Coauthor Index
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