Filip Radlinski

91 papers A* 31A 18B 3Misc 1Journal 28Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A conf
SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web.
ICWSM
John Palowitch, Hamidreza Alvari, Mehran Kazemi, Tanvir Amin, Filip Radlinski
2024 J jnl
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems.
Trans. Recomm. Syst.
Ivica Kostric, Krisztian Balog, Filip Radlinski
2024 J jnl
SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web.
CoRR
John Palowitch, Hamidreza Alvari, Mehran Kazemi, Tanvir Amin, Filip Radlinski
2024 J jnl
Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions.
CoRR
Krisztian Balog, John Palowitch, Barbara Ikica, Filip Radlinski, Hamidreza Alvari, Mehdi Manshadi
2023 A* conf
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset.
SIGIR
Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski
2023 J jnl
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset.
CoRR
Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski
2023 J jnl
Conversational Information Seeking.
Found. Trends Inf. Retr.
Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski
2023 J jnl
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models.
CoRR
Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty
2023 A conf
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.
RecSys
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
2023 J jnl
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.
CoRR
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
2023 — conf
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems.
CHI Extended Abstracts
Krisztian Balog, Filip Radlinski, Andrey Petrov
2023 J jnl
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems.
CoRR
Krisztian Balog, Filip Radlinski, Andrey Petrov
2023 — conf
Resolving Indirect Referring Expressions for Entity Selection.
ACL (1)
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2022 J jnl
Conversational Information Seeking.
CoRR
Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski
2022 A* conf
Conversational Information Seeking: Theory and Application.
SIGIR
Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani
2022 A* conf
On Natural Language User Profiles for Transparent and Scrutable Recommendation.
SIGIR
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin
2022 J jnl
On Natural Language User Profiles for Transparent and Scrutable Recommendation.
CoRR
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin
2022 J jnl
Resolving Indirect Referring Expressions for Entity Selection.
CoRR
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis
2022 A* conf
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities.
AAAI
Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov
2021 A conf
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE.
CIKM
Preksha Nema, Alexandros Karatzoglou, Filip Radlinski
2021 A conf
Diverse User Preference Elicitation with Multi-Armed Bandits.
WSDM
Javier Parapar, Filip Radlinski
2021 A* conf
On Interpretation and Measurement of Soft Attributes for Recommendation.
SIGIR
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
2021 J jnl
On Interpretation and Measurement of Soft Attributes for Recommendation.
CoRR
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
2021 A conf
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions.
RecSys
Ivica Kostric, Krisztian Balog, Filip Radlinski
2021 J jnl
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions.
CoRR
Ivica Kostric, Krisztian Balog, Filip Radlinski
2021 A conf
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems.
RecSys
Javier Parapar, Filip Radlinski
2020 — conf
"I'd rather just go to bed": Understanding Indirect Answers.
EMNLP (1)
Annie Louis, Dan Roth, Filip Radlinski
2020 J jnl
"I'd rather just go to bed": Understanding Indirect Answers.
CoRR
Annie Louis, Dan Roth, Filip Radlinski
2020 J jnl
Common Conversational Community Prototype: Scholarly Conversational Assistant.
CoRR
Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani
2020 A* conf
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations.
SIGIR
Krisztian Balog, Filip Radlinski
2019 B conf
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences.
SIGdial
Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi
2019 B conf
Embedding Search into a Conversational Platform to Support Collaborative Search.
CHIIR
Sandeep Avula, Jaime Arguello, Robert Capra, Jordan Dodson, Yuhui Huang, Filip Radlinski
2019 A* conf
Transparent, Scrutable and Explainable User Models for Personalized Recommendation.
SIGIR
Krisztian Balog, Filip Radlinski, Shushan Arakelyan
2018 J jnl
CAIR'18: Second International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2018.
SIGIR Forum
Damiano Spina, Jaime Arguello, Hideo Joho, Julia Kiseleva, Filip Radlinski
2018 A conf
Preference elicitation as an optimization problem.
RecSys
Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke
2018 A* conf
Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018.
SIGIR
Jaime Arguello, Filip Radlinski, Hideo Joho, Damiano Spina, Julia Kiseleva
2017 B conf
A Theoretical Framework for Conversational Search.
CHIIR
Filip Radlinski, Nick Craswell
2017 J jnl
CAIR'17: First International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2017.
SIGIR Forum
Hideo Joho, Lawrence Cavedon, Jaime Arguello, Milad Shokouhi, Filip Radlinski
2017 A* conf
First International Workshop on Conversational Approaches to Information Retrieval (CAIR'17).
SIGIR
Hideo Joho, Lawrence Cavedon, Jaime Arguello, Milad Shokouhi, Filip Radlinski
2017 A conf
Simple Personalized Search Based on Long-Term Behavioral Signals.
ECIR
Anna Sepliarskaia, Filip Radlinski, Maarten de Rijke
2017 — conf
TREC Complex Answer Retrieval Overview.
TREC
Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell
2017 A* conf
Understanding and Modeling Success in Email Search.
SIGIR
Jin Young Kim, Nick Craswell, Susan T. Dumais, Filip Radlinski, Fang Liu
2016 J jnl
Online Evaluation for Information Retrieval.
Found. Trends Inf. Retr.
Katja Hofmann, Lihong Li, Filip Radlinski
2016 A ed.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016
WSDM
Paul N. Bennett, Vanja Josifovski, Jennifer Neville, Filip Radlinski
2016 A* conf
Towards Conversational Recommender Systems.
KDD
Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann
2016 A* conf
Where Can I Buy a Boulder?: Searching for Offline Retail Locations.
WWW
Sandro Bauer, Filip Radlinski, Ryen W. White
2015 Misc conf
Learning Asymmetric Co-Relevance.
ICTIR
Fiana Raiber, Oren Kurland, Filip Radlinski, Milad Shokouhi
2015 — conf
Online Search Evaluation with Interleaving.
WWW (Companion Volume)
Filip Radlinski
2015 A* conf
Predicting Search Satisfaction Metrics with Interleaved Comparisons.
SIGIR
Anne Schuth, Katja Hofmann, Filip Radlinski
2014 A conf
An Eye-tracking Study of User Interactions with Query Auto Completion.
CIKM
Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi
2014 A conf
Building a personalized tourist attraction recommender system using crowdsourcing.
AAMAS
Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Filip Radlinski, Ely Porat, Michael Armstrong, Vijay Sharma
2014 A* conf
Choices and constraints: research goals and approaches in information retrieval (part 1).
SIGIR
Diane Kelly, Filip Radlinski, Jaime Teevan
2014 A* conf
Choices and constraints: research goals and approaches in information retrieval (part 2).
SIGIR
Diane Kelly, Filip Radlinski, Jaime Teevan
2014 A* conf
On correlation of absence time and search effectiveness.
SIGIR
Sunandan Chakraborty, Filip Radlinski, Milad Shokouhi, Paul Baecke
2014 A* conf
On user interactions with query auto-completion.
SIGIR
Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann
2014 A conf
Relevance and Effort: An Analysis of Document Utility.
CIKM
Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey
2013 A* conf
Fighting search engine amnesia: reranking repeated results.
SIGIR
Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
2013 A conf
Optimized interleaving for online retrieval evaluation.
WSDM
Filip Radlinski, Nick Craswell
2013 A conf
Practical Online Retrieval Evaluation.
ECIR
Filip Radlinski, Katja Hofmann
2013 J jnl
Ranked bandits in metric spaces: learning diverse rankings over large document collections.
J. Mach. Learn. Res.
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2012 J jnl
Large-scale validation and analysis of interleaved search evaluation.
ACM Trans. Inf. Syst.
Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue
2012 A conf
On caption bias in interleaving experiments.
CIKM
Katja Hofmann, Fritz Behr, Filip Radlinski
2011 A conf
Detecting duplicate web documents using clickthrough data.
WSDM
Filip Radlinski, Paul N. Bennett, Emine Yilmaz
2011 A* conf
Inferring and using location metadata to personalize web search.
SIGIR
Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz
2011 A conf
Personalizing web search using long term browsing history.
WSDM
Nicolaas Matthijs, Filip Radlinski
2011 A* conf
Practical online retrieval evaluation.
SIGIR
Filip Radlinski, Yisong Yue
2010 A* conf
Comparing the sensitivity of information retrieval metrics.
SIGIR
Filip Radlinski, Nick Craswell
2010 — ch.
Evaluating Search Engine Relevance with Click-Based Metrics.
Preference Learning
Filip Radlinski, Madhu Kurup, Thorsten Joachims
2010 A* conf
Inferring query intent from reformulations and clicks.
WWW
Filip Radlinski, Martin Szummer, Nick Craswell
2010 J jnl
Learning optimally diverse rankings over large document collections
CoRR
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2010 A* conf
Learning optimally diverse rankings over large document collections.
ICML
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2010 A* conf
Metrics for assessing sets of subtopics.
SIGIR
Filip Radlinski, Martin Szummer, Nick Craswell
2009 J jnl
Redundancy, diversity and interdependent document relevance.
SIGIR Forum
Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims
2008 A conf
How does clickthrough data reflect retrieval quality?
CIKM
Filip Radlinski, Madhu Kurup, Thorsten Joachims
2008 A* conf
Learning diverse rankings with multi-armed bandits.
ICML
Filip Radlinski, Robert Kleinberg, Thorsten Joachims
2008 — —
Learning to rank from implicit feedback.
Filip Radlinski
2008 — conf
Mortal Multi-Armed Bandits.
NIPS
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal
2008 A* conf
Optimizing relevance and revenue in ad search: a query substitution approach.
SIGIR
Filip Radlinski, Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Lance Riedel
2007 A* conf
A support vector method for optimizing average precision.
SIGIR
Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims
2007 A* conf
Active exploration for learning rankings from clickthrough data.
KDD
Filip Radlinski, Thorsten Joachims
2007 J jnl
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search.
ACM Trans. Inf. Syst.
Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay
2007 J jnl
Recommending Related Papers Based on Digital Library Access Records
CoRR
Stefan Pohl, Filip Radlinski, Thorsten Joachims
2007 — conf
Recommending related papers based on digital library access records.
JCDL
Stefan Pohl, Filip Radlinski, Thorsten Joachims
2007 J jnl
Search Engines that Learn from Implicit Feedback.
Computer
Thorsten Joachims, Filip Radlinski
2006 J jnl
Evaluating the Robustness of Learning from Implicit Feedback
CoRR
Filip Radlinski, Thorsten Joachims
2006 A* conf
Improving personalized web search using result diversification.
SIGIR
Filip Radlinski, Susan T. Dumais
2006 J jnl
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
CoRR
Filip Radlinski, Thorsten Joachims
2006 A* conf
Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs.
AAAI
Filip Radlinski, Thorsten Joachims
2006 J jnl
Query Chains: Learning to Rank from Implicit Feedback
CoRR
Filip Radlinski, Thorsten Joachims
2005 A* conf
Query chains: learning to rank from implicit feedback.
KDD
Filip Radlinski, Thorsten Joachims