Filip Radlinski

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Topics

Information Retrieval

Natural Language

Preference Elicitation

Recommender Systems

Top Venues

Publications

Ivica Kostric, Krisztian Balog, Filip Radlinski
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems. Trans. Recomm. Syst. 2 (2) (2024)
John Palowitch, Hamidreza Alvari, Mehran Kazemi, Tanvir Amin, Filip Radlinski
SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web. CoRR (2024)
Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. CoRR (2023)
Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. CoRR (2023)
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 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
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski
Conversational Information Seeking. Found. Trends Inf. Retr. 17 (3-4) (2023)
Krisztian Balog, Filip Radlinski, Andrey Petrov
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems. CoRR (2023)
Krisztian Balog, Filip Radlinski, Andrey Petrov
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems. CHI Extended Abstracts (2023)
Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. SIGIR (2023)
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis
Resolving Indirect Referring Expressions for Entity Selection. ACL (1) (2023)
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. CoRR (2023)
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. RecSys (2023)
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis
Resolving Indirect Referring Expressions for Entity Selection. CoRR (2022)
Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani
Conversational Information Seeking: Theory and Application. SIGIR (2022)
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin
On Natural Language User Profiles for Transparent and Scrutable Recommendation. CoRR (2022)
Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski
Conversational Information Seeking. CoRR (2022)
Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI (2022)
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin
On Natural Language User Profiles for Transparent and Scrutable Recommendation. SIGIR (2022)
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR (2021)
Javier Parapar, Filip Radlinski
Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM (2021)
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
On Interpretation and Measurement of Soft Attributes for Recommendation. CoRR (2021)
Javier Parapar, Filip Radlinski
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys (2021)
Preksha Nema, Alexandros Karatzoglou, Filip Radlinski
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. CIKM (2021)
Ivica Kostric, Krisztian Balog, Filip Radlinski
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. RecSys (2021)
Ivica Kostric, Krisztian Balog, Filip Radlinski
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. CoRR (2021)
Annie Louis, Dan Roth, Filip Radlinski
"I'd rather just go to bed": Understanding Indirect Answers. CoRR (2020)
Krisztian Balog, Filip Radlinski
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. SIGIR (2020)
Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani
Common Conversational Community Prototype: Scholarly Conversational Assistant. CoRR (2020)
Annie Louis, Dan Roth, Filip Radlinski
"I'd rather just go to bed": Understanding Indirect Answers. EMNLP (1) (2020)
Krisztian Balog, Filip Radlinski, Shushan Arakelyan
Transparent, Scrutable and Explainable User Models for Personalized Recommendation. SIGIR (2019)
Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. SIGdial (2019)
Sandeep Avula, Jaime Arguello, Robert Capra, Jordan Dodson, Yuhui Huang, Filip Radlinski
Embedding Search into a Conversational Platform to Support Collaborative Search. CHIIR (2019)
Jaime Arguello, Filip Radlinski, Hideo Joho, Damiano Spina, Julia Kiseleva
Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018. SIGIR (2018)
Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke
Preference elicitation as an optimization problem. RecSys (2018)
Damiano Spina, Jaime Arguello, Hideo Joho, Julia Kiseleva, Filip Radlinski
CAIR'18: Second International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2018. SIGIR Forum 52 (2) (2018)
Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell
TREC Complex Answer Retrieval Overview. TREC (2017)
Anna Sepliarskaia, Filip Radlinski, Maarten de Rijke
Simple Personalized Search Based on Long-Term Behavioral Signals. ECIR (2017)
Jin Young Kim, Nick Craswell, Susan T. Dumais, Filip Radlinski, Fang Liu
Understanding and Modeling Success in Email Search. SIGIR (2017)
Filip Radlinski, Nick Craswell
A Theoretical Framework for Conversational Search. CHIIR (2017)
Hideo Joho, Lawrence Cavedon, Jaime Arguello, Milad Shokouhi, Filip Radlinski
First International Workshop on Conversational Approaches to Information Retrieval (CAIR'17). SIGIR (2017)
Hideo Joho, Lawrence Cavedon, Jaime Arguello, Milad Shokouhi, Filip Radlinski
CAIR'17: First International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2017. SIGIR Forum 51 (3) (2017)
Katja Hofmann, Lihong Li, Filip Radlinski
Online Evaluation for Information Retrieval. Found. Trends Inf. Retr. 10 (1) (2016)
Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann
Towards Conversational Recommender Systems. KDD (2016)
Sandro Bauer, Filip Radlinski, Ryen W. White
Where Can I Buy a Boulder?: Searching for Offline Retail Locations. WWW (2016)
Anne Schuth, Katja Hofmann, Filip Radlinski
Predicting Search Satisfaction Metrics with Interleaved Comparisons. SIGIR (2015)
Filip Radlinski
Online Search Evaluation with Interleaving. WWW (Companion Volume) (2015)
Fiana Raiber, Oren Kurland, Filip Radlinski, Milad Shokouhi
Learning Asymmetric Co-Relevance. ICTIR (2015)
Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Filip Radlinski, Ely Porat, Michael Armstrong, Vijay Sharma
Building a personalized tourist attraction recommender system using crowdsourcing. AAMAS (2014)
Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann
On user interactions with query auto-completion. SIGIR (2014)
Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi
An Eye-tracking Study of User Interactions with Query Auto Completion. CIKM (2014)
Sunandan Chakraborty, Filip Radlinski, Milad Shokouhi, Paul Baecke
On correlation of absence time and search effectiveness. SIGIR (2014)
Diane Kelly, Filip Radlinski, Jaime Teevan
Choices and constraints: research goals and approaches in information retrieval (part 1). SIGIR (2014)
Diane Kelly, Filip Radlinski, Jaime Teevan
Choices and constraints: research goals and approaches in information retrieval (part 2). SIGIR (2014)
Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey
Relevance and Effort: An Analysis of Document Utility. CIKM (2014)
Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
Fighting search engine amnesia: reranking repeated results. SIGIR (2013)
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
Ranked bandits in metric spaces: learning diverse rankings over large document collections. J. Mach. Learn. Res. 14 (1) (2013)
Filip Radlinski, Nick Craswell
Optimized interleaving for online retrieval evaluation. WSDM (2013)
Filip Radlinski, Katja Hofmann
Practical Online Retrieval Evaluation. ECIR (2013)
Katja Hofmann, Fritz Behr, Filip Radlinski
On caption bias in interleaving experiments. CIKM (2012)
Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue
Large-scale validation and analysis of interleaved search evaluation. ACM Trans. Inf. Syst. 30 (1) (2012)
Filip Radlinski, Yisong Yue
Practical online retrieval evaluation. SIGIR (2011)
Filip Radlinski, Paul N. Bennett, Emine Yilmaz
Detecting duplicate web documents using clickthrough data. WSDM (2011)
Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz
Inferring and using location metadata to personalize web search. SIGIR (2011)
Nicolaas Matthijs, Filip Radlinski
Personalizing web search using long term browsing history. WSDM (2011)
Filip Radlinski, Martin Szummer, Nick Craswell
Metrics for assessing sets of subtopics. SIGIR (2010)
Filip Radlinski, Martin Szummer, Nick Craswell
Inferring query intent from reformulations and clicks. WWW (2010)
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
Learning optimally diverse rankings over large document collections CoRR (2010)
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
Learning optimally diverse rankings over large document collections. ICML (2010)
Filip Radlinski, Nick Craswell
Comparing the sensitivity of information retrieval metrics. SIGIR (2010)
Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims
Redundancy, diversity and interdependent document relevance. SIGIR Forum 43 (2) (2009)
Filip Radlinski, Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Lance Riedel
Optimizing relevance and revenue in ad search: a query substitution approach. SIGIR (2008)
Filip Radlinski, Madhu Kurup, Thorsten Joachims
How does clickthrough data reflect retrieval quality? CIKM (2008)
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal
Mortal Multi-Armed Bandits. NIPS (2008)
Filip Radlinski, Robert Kleinberg, Thorsten Joachims
Learning diverse rankings with multi-armed bandits. ICML (2008)
Filip Radlinski, Thorsten Joachims
Active exploration for learning rankings from clickthrough data. KDD (2007)
Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims
A support vector method for optimizing average precision. SIGIR (2007)
Thorsten Joachims, Filip Radlinski
Search Engines that Learn from Implicit Feedback. Computer 40 (8) (2007)
Thorsten Joachims, Laura A. Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search. ACM Trans. Inf. Syst. 25 (2) (2007)
Stefan Pohl, Filip Radlinski, Thorsten Joachims
Recommending related papers based on digital library access records. JCDL (2007)
Stefan Pohl, Filip Radlinski, Thorsten Joachims
Recommending Related Papers Based on Digital Library Access Records CoRR (2007)
Filip Radlinski, Thorsten Joachims
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs CoRR (2006)
Filip Radlinski, Thorsten Joachims
Evaluating the Robustness of Learning from Implicit Feedback CoRR (2006)
Filip Radlinski, Susan T. Dumais
Improving personalized web search using result diversification. SIGIR (2006)
Filip Radlinski, Thorsten Joachims
Query Chains: Learning to Rank from Implicit Feedback CoRR (2006)
Filip Radlinski, Thorsten Joachims
Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. AAAI (2006)
Filip Radlinski, Thorsten Joachims
Query chains: learning to rank from implicit feedback. KDD (2005)