Query chains: learning to rank from implicit feedback. - Filip Radlinski; Thorsten Joachims (KDD, 2005)

Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. - Filip Radlinski; Thorsten Joachims (AAAI, 2006)

Improving personalized web search using result diversification. - Filip Radlinski; Susan T. Dumais (SIGIR, 2006)

Evaluating the Robustness of Learning from Implicit Feedback - Filip Radlinski; Thorsten Joachims (CoRR, 2006)

Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs - Filip Radlinski; Thorsten Joachims (CoRR, 2006)

Recommending related papers based on digital library access records. - Stefan Pohl; Filip Radlinski; Thorsten Joachims (JCDL, 2007)

Active exploration for learning rankings from clickthrough data. - Filip Radlinski; Thorsten Joachims (KDD, 2007)

A support vector method for optimizing average precision. - Yisong Yue; Thomas Finley; Filip Radlinski; Thorsten Joachims (SIGIR, 2007)

Search Engines that Learn from Implicit Feedback. - Thorsten Joachims; Filip Radlinski (Computer, 2007)

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. - Thorsten Joachims; Laura A. Granka; Bing Pan; Helene Hembrooke; Filip Radlinski; Geri Gay (ACM Trans. Inf. Syst., 2007)

How does clickthrough data reflect retrieval quality? - Filip Radlinski; Madhu Kurup; Thorsten Joachims (CIKM, 2008)

Learning diverse rankings with multi-armed bandits. - Filip Radlinski; Robert Kleinberg; Thorsten Joachims (ICML, 2008)

Mortal Multi-Armed Bandits. - Deepayan Chakrabarti; Ravi Kumar 001; Filip Radlinski; Eli Upfal (NIPS, 2008)

Optimizing relevance and revenue in ad search: a query substitution approach. - Filip Radlinski; Andrei Z. Broder; Peter Ciccolo; Evgeniy Gabrilovich; Vanja Josifovski; Lance Riedel (SIGIR, 2008)

Learning to rank from implicit feedback. - Filip Radlinski (2008)

Redundancy, diversity and interdependent document relevance. - Filip Radlinski; Paul N. Bennett; Ben Carterette; Thorsten Joachims (SIGIR Forum, 2009)

Evaluating Search Engine Relevance with Click-Based Metrics. - Filip Radlinski; Madhu Kurup; Thorsten Joachims (Preference Learning, 2010)

Learning optimally diverse rankings over large document collections. - Aleksandrs Slivkins; Filip Radlinski; Sreenivas Gollapudi (ICML, 2010)

Comparing the sensitivity of information retrieval metrics. - Filip Radlinski; Nick Craswell (SIGIR, 2010)

Metrics for assessing sets of subtopics. - Filip Radlinski; Martin Szummer; Nick Craswell (SIGIR, 2010)

Inferring query intent from reformulations and clicks. - Filip Radlinski; Martin Szummer; Nick Craswell (WWW, 2010)

Inferring and using location metadata to personalize web search. - Paul N. Bennett; Filip Radlinski; Ryen W. White; Emine Yilmaz (SIGIR, 2011)

Practical online retrieval evaluation. - Filip Radlinski; Yisong Yue (SIGIR, 2011)

Personalizing web search using long term browsing history. - Nicolaas Matthijs; Filip Radlinski (WSDM, 2011)

Detecting duplicate web documents using clickthrough data. - Filip Radlinski; Paul N. Bennett; Emine Yilmaz (WSDM, 2011)

On caption bias in interleaving experiments. - Katja Hofmann; Fritz Behr; Filip Radlinski (CIKM, 2012)

Large-scale validation and analysis of interleaved search evaluation. - Olivier Chapelle; Thorsten Joachims; Filip Radlinski; Yisong Yue (ACM Trans. Inf. Syst., 2012)

Practical Online Retrieval Evaluation. - Filip Radlinski; Katja Hofmann (ECIR, 2013)

Fighting search engine amnesia: reranking repeated results. - Milad Shokouhi; Ryen W. White; Paul N. Bennett; Filip Radlinski (SIGIR, 2013)

Optimized interleaving for online retrieval evaluation. - Filip Radlinski; Nick Craswell (WSDM, 2013)

Ranked bandits in metric spaces: learning diverse rankings over large document collections. - Aleksandrs Slivkins; Filip Radlinski; Sreenivas Gollapudi (J. Mach. Learn. Res., 2013)

Building a personalized tourist attraction recommender system using crowdsourcing. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; Filip Radlinski; Ely Porat; Michael Armstrong; Vijay Sharma (AAMAS, 2014)

An Eye-tracking Study of User Interactions with Query Auto Completion. - Katja Hofmann; Bhaskar Mitra 001; Filip Radlinski; Milad Shokouhi (CIKM, 2014)

Relevance and Effort: An Analysis of Document Utility. - Emine Yilmaz; Manisha Verma; Nick Craswell; Filip Radlinski; Peter Bailey (CIKM, 2014)

On correlation of absence time and search effectiveness. - Sunandan Chakraborty; Filip Radlinski; Milad Shokouhi; Paul Baecke (SIGIR, 2014)

Choices and constraints: research goals and approaches in information retrieval (part 1). - Diane Kelly 001; Filip Radlinski; Jaime Teevan (SIGIR, 2014)

Choices and constraints: research goals and approaches in information retrieval (part 2). - Diane Kelly 001; Filip Radlinski; Jaime Teevan (SIGIR, 2014)

On user interactions with query auto-completion. - Bhaskar Mitra 001; Milad Shokouhi; Filip Radlinski; Katja Hofmann (SIGIR, 2014)

Learning Asymmetric Co-Relevance. - Fiana Raiber; Oren Kurland; Filip Radlinski; Milad Shokouhi (ICTIR, 2015)

Predicting Search Satisfaction Metrics with Interleaved Comparisons. - Anne Schuth; Katja Hofmann; Filip Radlinski (SIGIR, 2015)

Online Search Evaluation with Interleaving. - Filip Radlinski (WWW (Companion Volume), 2015)

Towards Conversational Recommender Systems. - Konstantina Christakopoulou; Filip Radlinski; Katja Hofmann (KDD, 2016)

Where Can I Buy a Boulder?: Searching for Offline Retail Locations. - Sandro Bauer; Filip Radlinski; Ryen W. White (WWW, 2016)

Online Evaluation for Information Retrieval. - Katja Hofmann; Lihong Li 001; Filip Radlinski (Found. Trends Inf. Retr., 2016)

A Theoretical Framework for Conversational Search. - Filip Radlinski; Nick Craswell (CHIIR, 2017)

Simple Personalized Search Based on Long-Term Behavioral Signals. - Anna Sepliarskaia; Filip Radlinski; Maarten de Rijke (ECIR, 2017)

Understanding and Modeling Success in Email Search. - Jin Young Kim 005; Nick Craswell; Susan T. Dumais; Filip Radlinski; Fang Liu (SIGIR, 2017)

First International Workshop on Conversational Approaches to Information Retrieval (CAIR'17). - Hideo Joho; Lawrence Cavedon; Jaime Arguello; Milad Shokouhi; Filip Radlinski (SIGIR, 2017)

TREC Complex Answer Retrieval Overview. - Laura Dietz; Manisha Verma; Filip Radlinski; Nick Craswell (TREC, 2017)

CAIR'17: First International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2017. - Hideo Joho; Lawrence Cavedon; Jaime Arguello; Milad Shokouhi; Filip Radlinski (SIGIR Forum, 2017)

Preference elicitation as an optimization problem. - Anna Sepliarskaia; Julia Kiseleva; Filip Radlinski; Maarten de Rijke (RecSys, 2018)

Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018. - Jaime Arguello; Filip Radlinski; Hideo Joho; Damiano Spina; Julia Kiseleva (SIGIR, 2018)

CAIR'18: Second International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2018. - Damiano Spina; Jaime Arguello; Hideo Joho; Julia Kiseleva; Filip Radlinski (SIGIR Forum, 2018)

Embedding Search into a Conversational Platform to Support Collaborative Search. - Sandeep Avula; Jaime Arguello; Robert Capra; Jordan Dodson; Yuhui Huang; Filip Radlinski (CHIIR, 2019)

Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. - Filip Radlinski; Krisztian Balog; Bill Byrne; Karthik Krishnamoorthi (SIGdial, 2019)

Transparent, Scrutable and Explainable User Models for Personalized Recommendation. - Krisztian Balog; Filip Radlinski; Shushan Arakelyan (SIGIR, 2019)

"I'd rather just go to bed": Understanding Indirect Answers. - Annie Louis; Dan Roth 001; Filip Radlinski (EMNLP (1), 2020)

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. - Krisztian Balog; Filip Radlinski (SIGIR, 2020)

Common Conversational Community Prototype: Scholarly Conversational Assistant. - Krisztian Balog; Lucie Flekova; Matthias Hagen; Rosie Jones; Martin Potthast; Filip Radlinski; Mark Sanderson; Svitlana Vakulenko; Hamed Zamani (CoRR, 2020)

Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. - Preksha Nema; Alexandros Karatzoglou; Filip Radlinski (CIKM, 2021)

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. - Ivica Kostric; Krisztian Balog; Filip Radlinski (RecSys, 2021)

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. - Javier Parapar; Filip Radlinski (RecSys, 2021)

On Interpretation and Measurement of Soft Attributes for Recommendation. - Krisztian Balog; Filip Radlinski; Alexandros Karatzoglou (SIGIR, 2021)

Diverse User Preference Elicitation with Multi-Armed Bandits. - Javier Parapar; Filip Radlinski (WSDM, 2021)

Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. - Filip Radlinski; Craig Boutilier; Deepak Ramachandran; Ivan Vendrov (AAAI, 2022)

Conversational Information Seeking: Theory and Application. - Jeffrey Dalton 001; Sophie Fischer; Paul Owoicho; Filip Radlinski; Federico Rossetto; Johanne R. Trippas; Hamed Zamani (SIGIR, 2022)

On Natural Language User Profiles for Transparent and Scrutable Recommendation. - Filip Radlinski; Krisztian Balog; Fernando Diaz 001; Lucas Dixon; Ben Wedin (SIGIR, 2022)

Resolving Indirect Referring Expressions for Entity Selection. - Mohammad Javad Hosseini; Filip Radlinski; Silvia Pareti; Annie Louis (ACL (1), 2023)

Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems. - Krisztian Balog; Filip Radlinski; Andrey Petrov (CHI Extended Abstracts, 2023)

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. - Scott Sanner; Krisztian Balog; Filip Radlinski; Ben Wedin; Lucas Dixon (RecSys, 2023)

Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. - Arun Tejasvi Chaganty; Megan Leszczynski; Shu Zhang; Ravi Ganti; Krisztian Balog; Filip Radlinski (SIGIR, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. - Megan Leszczynski; Ravi Ganti; Shu Zhang; Krisztian Balog; Filip Radlinski; Fernando Pereira; Arun Tejasvi Chaganty (CoRR, 2023)

Conversational Information Seeking. - Hamed Zamani; Johanne R. Trippas; Jeff Dalton 001; Filip Radlinski (Found. Trends Inf. Retr., 2023)

Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions. - Krisztian Balog; John Palowitch; Barbara Ikica; Filip Radlinski; Hamidreza Alvari; Mehdi Manshadi (CoRR, 2024)

Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems. - Ivica Kostric; Krisztian Balog; Filip Radlinski (Trans. Recomm. Syst., 2024)

SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web. - John Palowitch; Hamidreza Alvari; Mehran Kazemi; Tanvir Amin; Filip Radlinski (ICWSM, 2025)