Ilya Markov

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 36

Top Topics

Learning To Rank

Resource Selection

Top Venues

ACM Trans. Inf. Syst.

Publications

Mikhail Masliaev, Ilya Markov, Alexander Hvatov
Towards stable real-world equation discovery with assessing differentiating quality influence. CoRR (2023)
Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu
ParClick: A Scalable Algorithm for EM-based Click Models. WWW (2022)
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 (2021)
Ali Vardasbi, Maarten de Rijke, Ilya Markov
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CoRR (2021)
Ali Vardasbi, Maarten de Rijke, Ilya Markov
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CIKM (2021)
Yifan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke
New Items. ACM Trans. Inf. Syst. 38 (2) (2020)
Rolf Jagerman, Ilya Markov, Maarten de Rijke
Safe Exploration for Optimizing Contextual Bandits. ACM Trans. Inf. Syst. 38 (3) (2020)
Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi
MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation. ACM Trans. Inf. Syst. 38 (4) (2020)
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) (2020)
Rolf Jagerman, Ilya Markov, Maarten de Rijke
Safe Exploration for Optimizing Contextual Bandits. CoRR (2020)
Ali Vardasbi, Maarten de Rijke, Ilya Markov
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. SIGIR (2020)
Ali Vardasbi, Maarten de Rijke, Ilya Markov
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. CoRR (2020)
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)
Rolf Jagerman, Ilya Markov, Maarten de Rijke
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM (2019)
Bram van den Akker, Ilya Markov, Maarten de Rijke
ViTOR: Learning to Rank Webpages Based on Visual Features. WWW (2019)
Bram van den Akker, Ilya Markov, Maarten de Rijke
ViTOR: Learning to Rank Webpages Based on Visual Features. CoRR (2019)
Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi
BubbleRank: Safe Online Learning to Rerank. CoRR (2018)
Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke
Calibration: A Simple Way to Improve Click Models. CIKM (2018)
Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke
A Click Sequence Model for Web Search. CoRR (2018)
Ilya Markov, Maarten de Rijke
What Should We Teach in Information Retrieval? SIGIR Forum 52 (2) (2018)
Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke
Online Learning to Rank with List-level Feedback for Image Filtering. CoRR (2018)
Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi
Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation. CoRR (2018)
Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke
Manifold Learning for Rank Aggregation. WWW (2018)
Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke
A Click Sequence Model for Web Search. SIGIR (2018)
Ilya Markov, Alexey Borisov, Maarten de Rijke
Online Expectation-Maximization for Click Models. CIKM (2017)
Stepan Malkevich, Ilya Markov, Elena Michailova, Maarten de Rijke
Evaluating and Analyzing Click Simulation in Web Search. ICTIR (2017)
Svitlana Vakulenko, Ilya Markov, Maarten de Rijke
Conversational Exploratory Search via Interactive Storytelling. CoRR (2017)
Aleksandr Chuklin, Ilya Markov, Maarten de Rijke
Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial. WSDM (2016)
Alexey Borisov, Ilya Markov, Maarten de Rijke, Pavel Serdyukov
A Neural Click Model for Web Search. WWW (2016)
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)
Alexey Borisov, Ilya Markov, Maarten de Rijke, Pavel Serdyukov
A Context-aware Time Model for Web Search. SIGIR (2016)
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) (2015)
Aleksandr Chuklin, Ilya Markov, Maarten de Rijke
An Introduction to Click Models for Web Search: SIGIR 2015 Tutorial. SIGIR (2015)
Yaser Norouzzadeh Ravari, Ilya Markov, Artem Grotov, Maarten Clements, Maarten de Rijke
User Behavior in Location Search on Mobile Devices. ECIR (2015)
Artem Grotov, Aleksandr Chuklin, Ilya Markov, Luka Stout, Finde Xumara, Maarten de Rijke
A Comparative Study of Click Models for Web Search. CLEF (2015)
Aleksandr Chuklin, Ilya Markov, Maarten de Rijke
Advanced Click Models and their Applications to IR: SIGIR 2015 Tutorial. SIGIR (2015)
Ilya Markov, Eugene Kharitonov, Vadim Nikulin, Pavel Serdyukov, Maarten de Rijke, Fabio Crestani
Vertical-Aware Click Model-Based Effectiveness Metrics. CIKM (2014)
Anastasia Giachanou, Fabio Crestani, Ilya Markov
Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track. TREC (2014)
Ilya Markov, Mark James Carman, Fabio Crestani
Towards Risk-Aware Resource Selection. AIRS (2014)
Ilya Markov, Fabio Crestani
Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource Selection. ACM Trans. Inf. Syst. 32 (2) (2014)
Ilya Markov, Leif Azzopardi, Fabio Crestani
Reducing the Uncertainty in Resource Selection. ECIR (2013)
Ilya Markov, Avi Arampatzis, Fabio Crestani
On CORI Results Merging. ECIR (2013)
Fabio Crestani, Ilya Markov
Distributed Information Retrieval and Applications. ECIR (2013)
Ilya Markov, Avi Arampatzis, Fabio Crestani
Unsupervised linear score normalization revisited. SIGIR (2012)
Ilya Markov
Modeling document scores for distributed information retrieval. SIGIR (2011)
Ilya Markov, Fabio Crestani
Defining the Dynamicity and Diversity of Text Collections. ECDL (2010)
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)
Ilya Markov, Natalia Vassilieva
Query Classification in Content-Based Image Retrieval. DB&IS (2008)
Ilya Markov, Natalia Vassilieva
Image Retrieval: Color and Texture Combining Based on Query-Image. ICISP (2008)
Ilya Markov
VP-tree: Content-Based Image Indexing. SYRCoDIS (2007)