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2020 – today
- 2024
[j10]Ivica Kostric
, Krisztian Balog, Filip Radlinski:
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems. Trans. Recomm. Syst. 2(2): 12:1-12:24 (2024)- [i18]John Palowitch, Hamidreza Alvari, Mehran Kazemi, Tanvir Amin, Filip Radlinski:
SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web. CoRR abs/2407.16007 (2024) - [i17]Krisztian Balog, John Palowitch, Barbara Ikica, Filip Radlinski, Hamidreza Alvari, Mehdi Manshadi:
Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions. CoRR abs/2408.08379 (2024) - 2023
- [j9]Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski:
Conversational Information Seeking. Found. Trends Inf. Retr. 17(3-4): 244-456 (2023) - [c59]Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis:
Resolving Indirect Referring Expressions for Entity Selection. ACL (1) 2023: 12313-12335 - [c58]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: 203:1-203:8 - [c57]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: 890-896 - [c56]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: 2754-2764 - [c55]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: 648-658 - [i16]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 abs/2301.11489 (2023) - [i15]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 abs/2303.06791 (2023) - [i14]Krisztian Balog, Filip Radlinski, Andrey Petrov:
Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems. CoRR abs/2303.09498 (2023) - [i13]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 abs/2307.14225 (2023) - 2022
- [c54]Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov:
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI 2022: 12287-12293 - [c53]Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. SIGIR 2022: 2863-2874 - [c52]Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani:
Conversational Information Seeking: Theory and Application. SIGIR 2022: 3455-3458 - [i12]Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski:
Conversational Information Seeking. CoRR abs/2201.08808 (2022) - [i11]Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. CoRR abs/2205.09403 (2022) - [i10]Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis:
Resolving Indirect Referring Expressions for Entity Selection. CoRR abs/2212.10933 (2022) - 2021
- [c51]Preksha Nema, Alexandros Karatzoglou, Filip Radlinski:
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. CIKM 2021: 1356-1365 - [c50]Javier Parapar, Filip Radlinski:
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys 2021: 75-84 - [c49]Ivica Kostric, Krisztian Balog, Filip Radlinski:
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. RecSys 2021: 724-729 - [c48]Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR 2021: 890-899 - [c47]Javier Parapar, Filip Radlinski:
Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM 2021: 130-138 - [i9]Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. CoRR abs/2105.09179 (2021) - [i8]Ivica Kostric, Krisztian Balog, Filip Radlinski:
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. CoRR abs/2111.13463 (2021) - 2020
- [c46]Annie Louis, Dan Roth, Filip Radlinski:
"I'd rather just go to bed": Understanding Indirect Answers. EMNLP (1) 2020: 7411-7425 - [c45]Krisztian Balog, Filip Radlinski:
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. SIGIR 2020: 329-338 - [i7]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 abs/2001.06910 (2020) - [i6]Annie Louis, Dan Roth, Filip Radlinski:
"I'd rather just go to bed": Understanding Indirect Answers. CoRR abs/2010.03450 (2020)
2010 – 2019
- 2019
- [c44]Sandeep Avula, Jaime Arguello, Robert Capra, Jordan Dodson, Yuhui Huang, Filip Radlinski:
Embedding Search into a Conversational Platform to Support Collaborative Search. CHIIR 2019: 15-23 - [c43]Filip Radlinski, Krisztian Balog, Bill Byrne, Karthik Krishnamoorthi:
Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. SIGdial 2019: 353-360 - [c42]Krisztian Balog, Filip Radlinski, Shushan Arakelyan:
Transparent, Scrutable and Explainable User Models for Personalized Recommendation. SIGIR 2019: 265-274 - 2018
- [j8]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): 111-116 (2018) - [c41]Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke:
Preference elicitation as an optimization problem. RecSys 2018: 172-180 - [c40]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: 1435-1437 - 2017
- [j7]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): 114-121 (2017) - [c39]Filip Radlinski, Nick Craswell:
A Theoretical Framework for Conversational Search. CHIIR 2017: 117-126 - [c38]Anna Sepliarskaia, Filip Radlinski, Maarten de Rijke:
Simple Personalized Search Based on Long-Term Behavioral Signals. ECIR 2017: 95-107 - [c37]Jin Young Kim, Nick Craswell, Susan T. Dumais, Filip Radlinski, Fang Liu:
Understanding and Modeling Success in Email Search. SIGIR 2017: 265-274 - [c36]Hideo Joho, Lawrence Cavedon, Jaime Arguello, Milad Shokouhi, Filip Radlinski:
First International Workshop on Conversational Approaches to Information Retrieval (CAIR'17). SIGIR 2017: 1423-1424 - [c35]Laura Dietz, Manisha Verma, Filip Radlinski, Nick Craswell:
TREC Complex Answer Retrieval Overview. TREC 2017 - 2016
- [j6]Katja Hofmann, Lihong Li, Filip Radlinski:
Online Evaluation for Information Retrieval. Found. Trends Inf. Retr. 10(1): 1-117 (2016) - [c34]Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann:
Towards Conversational Recommender Systems. KDD 2016: 815-824 - [c33]Sandro Bauer, Filip Radlinski, Ryen W. White:
Where Can I Buy a Boulder?: Searching for Offline Retail Locations. WWW 2016: 1225-1235 - [e1]Paul N. Bennett, Vanja Josifovski, Jennifer Neville, Filip Radlinski:
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016. ACM 2016, ISBN 978-1-4503-3716-8 [contents] - 2015
- [c32]Fiana Raiber, Oren Kurland, Filip Radlinski, Milad Shokouhi:
Learning Asymmetric Co-Relevance. ICTIR 2015: 281-290 - [c31]Anne Schuth, Katja Hofmann, Filip Radlinski:
Predicting Search Satisfaction Metrics with Interleaved Comparisons. SIGIR 2015: 463-472 - [c30]Filip Radlinski:
Online Search Evaluation with Interleaving. WWW (Companion Volume) 2015: 917 - 2014
- [c29]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: 1631-1632 - [c28]Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, Peter Bailey:
Relevance and Effort: An Analysis of Document Utility. CIKM 2014: 91-100 - [c27]Katja Hofmann, Bhaskar Mitra, Filip Radlinski, Milad Shokouhi:
An Eye-tracking Study of User Interactions with Query Auto Completion. CIKM 2014: 549-558 - [c26]Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, Katja Hofmann:
On user interactions with query auto-completion. SIGIR 2014: 1055-1058 - [c25]Sunandan Chakraborty, Filip Radlinski, Milad Shokouhi, Paul Baecke:
On correlation of absence time and search effectiveness. SIGIR 2014: 1163-1166 - [c24]Diane Kelly, Filip Radlinski, Jaime Teevan:
Choices and constraints: research goals and approaches in information retrieval (part 1). SIGIR 2014: 1283 - [c23]Diane Kelly, Filip Radlinski, Jaime Teevan:
Choices and constraints: research goals and approaches in information retrieval (part 2). SIGIR 2014: 1284 - 2013
- [j5]Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi:
Ranked bandits in metric spaces: learning diverse rankings over large document collections. J. Mach. Learn. Res. 14(1): 399-436 (2013) - [c22]Filip Radlinski, Katja Hofmann:
Practical Online Retrieval Evaluation. ECIR 2013: 878-881 - [c21]Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski:
Fighting search engine amnesia: reranking repeated results. SIGIR 2013: 273-282 - [c20]Filip Radlinski, Nick Craswell:
Optimized interleaving for online retrieval evaluation. WSDM 2013: 245-254 - 2012
- [j4]Olivier Chapelle, Thorsten Joachims, Filip Radlinski, Yisong Yue:
Large-scale validation and analysis of interleaved search evaluation. ACM Trans. Inf. Syst. 30(1): 6:1-6:41 (2012) - [c19]Katja Hofmann, Fritz Behr, Filip Radlinski:
On caption bias in interleaving experiments. CIKM 2012: 115-124 - 2011
- [c18]Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz:
Inferring and using location metadata to personalize web search. SIGIR 2011: 135-144 - [c17]Filip Radlinski, Yisong Yue:
Practical online retrieval evaluation. SIGIR 2011: 1301-1302 - [c16]Nicolaas Matthijs, Filip Radlinski:
Personalizing web search using long term browsing history. WSDM 2011: 25-34 - [c15]Filip Radlinski, Paul N. Bennett, Emine Yilmaz:
Detecting duplicate web documents using clickthrough data. WSDM 2011: 147-156 - 2010
- [c14]Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi:
Learning optimally diverse rankings over large document collections. ICML 2010: 983-990 - [c13]Filip Radlinski, Nick Craswell:
Comparing the sensitivity of information retrieval metrics. SIGIR 2010: 667-674 - [c12]Filip Radlinski, Martin Szummer, Nick Craswell:
Metrics for assessing sets of subtopics. SIGIR 2010: 853-854 - [c11]Filip Radlinski, Martin Szummer, Nick Craswell:
Inferring query intent from reformulations and clicks. WWW 2010: 1171-1172 - [p1]Filip Radlinski, Madhu Kurup, Thorsten Joachims:
Evaluating Search Engine Relevance with Click-Based Metrics. Preference Learning 2010: 337-361 - [i5]Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi:
Learning optimally diverse rankings over large document collections. CoRR abs/1005.5197 (2010)
2000 – 2009
- 2009
- [j3]Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims:
Redundancy, diversity and interdependent document relevance. SIGIR Forum 43(2): 46-52 (2009) - 2008
- [b1]Filip Radlinski:
Learning to rank from implicit feedback. Cornell University, USA, 2008 - [c10]Filip Radlinski, Madhu Kurup, Thorsten Joachims:
How does clickthrough data reflect retrieval quality? CIKM 2008: 43-52 - [c9]Filip Radlinski, Robert Kleinberg, Thorsten Joachims:
Learning diverse rankings with multi-armed bandits. ICML 2008: 784-791 - [c8]Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal:
Mortal Multi-Armed Bandits. NIPS 2008: 273-280 - [c7]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: 403-410 - 2007
- [j2]Thorsten Joachims, Filip Radlinski:
Search Engines that Learn from Implicit Feedback. Computer 40(8): 34-40 (2007) - [j1]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): 7 (2007) - [c6]Stefan Pohl, Filip Radlinski, Thorsten Joachims:
Recommending related papers based on digital library access records. JCDL 2007: 417-418 - [c5]Filip Radlinski, Thorsten Joachims:
Active exploration for learning rankings from clickthrough data. KDD 2007: 570-579 - [c4]Yisong Yue, Thomas Finley, Filip Radlinski, Thorsten Joachims:
A support vector method for optimizing average precision. SIGIR 2007: 271-278 - [i4]Stefan Pohl, Filip Radlinski, Thorsten Joachims:
Recommending Related Papers Based on Digital Library Access Records. CoRR abs/0704.2902 (2007) - 2006
- [c3]Filip Radlinski, Thorsten Joachims:
Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. AAAI 2006: 1406-1412 - [c2]Filip Radlinski, Susan T. Dumais:
Improving personalized web search using result diversification. SIGIR 2006: 691-692 - [i3]Filip Radlinski, Thorsten Joachims:
Query Chains: Learning to Rank from Implicit Feedback. CoRR abs/cs/0605035 (2006) - [i2]Filip Radlinski, Thorsten Joachims:
Evaluating the Robustness of Learning from Implicit Feedback. CoRR abs/cs/0605036 (2006) - [i1]Filip Radlinski, Thorsten Joachims:
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs. CoRR abs/cs/0605037 (2006) - 2005
- [c1]Filip Radlinski, Thorsten Joachims:
Query chains: learning to rank from implicit feedback. KDD 2005: 239-248
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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