Paul N. Bennett

126 papers A* 45A 27B 4Misc 1Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Language Model for Large Scale Search, Recommendation, and Reasoning. CoRR Marco De Nadai, Edoardo D'Amico, Max Lefarov, Alexandre Tamborrino, Divita Vohra, Mark VanMiddlesworth, Shawn Lin, Jacqueline Wood, Jan Stypka, Eliza Klyce, Keshi Dai, Timothy Christopher Heath, Martin D. Gould, Yves Raimond, Sandeep Ghael, Tony Jebara, Andreas Damianou, Vladan Radosavljevic, Paul N. Bennett, Mounia Lalmas, Praveen Chandar
2026	J	`jnl`	Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify. CoRR Edoardo D'Amico, Marco De Nadai, Praveen Chandar, Divita Vohra, Shawn Lin, Max Lefarov, Paul Gigioli, Gustavo Penha, Ilya Kopysitsky, Ivo Joel Senese, Darren Mei, Francesco Fabbri, Oguz Semerci, Yu Zhao, Vincent Tang, Brian St. Thomas, Alexandra Ranieri, Matthew N. K. Smith, Aaron Bernkopf, Bryan Leung, Ghazal Fazelnia, Mark VanMiddlesworth, Timothy Christopher Heath, Petter Pehrson Skidén, Alice Y. Wang, Doug J. Cole, Andreas Damianou, Maya Hristakeva, Reid Wilbur, Tarun Chillara, Vladan Radosavljevic, Pooja Chitkara, Sainath Adapa, Juan Elenter, Bernd Huber, Jacqueline Wood, Saaketh Vedantam, Jan Stypka, Sandeep Ghael, Martin D. Gould, David Murgatroyd, Yves Raimond, Mounia Lalmas, Paul N. Bennett
2025	J	`jnl`	Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models. CoRR Bernd Huber, Ghazal Fazelnia, Andreas Damianou, Sebastian Peleato, Max Lefarov, Praveen Ravichandran, Marco De Nadai, Mounia Lalmas-Roelleke, Paul N. Bennett
2025	A	`conf`	You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify. RecSys Enrico Palumbo, Marcus Isaksson, Alexandre Tamborrino, Maria Movin, Catalin Dincu, Ali Vardasbi, Lev Nikeshkin, Oksana Gorobets, Anders Nyman, Poppy Newdick, Hugues Bouchard, Paul N. Bennett, Mounia Lalmas, Dani Doro, Christine Doig Cardet, Ziad Sultan
2024	—	`conf`	MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024	J	`jnl`	MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024	A	`conf`	PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CIKM Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas
2024	J	`jnl`	PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CoRR Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas
2023	J	`jnl`	ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao
2023	A*	`conf`	Axiomatic Preference Modeling for Longform Question Answering. EMNLP Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul N. Bennett
2022	J	`jnl`	Imagining Future Digital Assistants at Work: A Study of Task Management Needs. CoRR Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Nicholas J. Belkin, Peter Bailey, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
2022	J	`jnl`	Imagining future digital assistants at work: A study of task management needs. Int. J. Hum. Comput. Stud. Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
2022	A*	`conf`	Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song
2022	J	`jnl`	SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. Trans. Assoc. Comput. Linguistics Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
2021	A*	`conf`	Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ICLR Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk
2021	A*	`conf`	Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
2021	J	`jnl`	Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
2021	—	`conf`	Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. ACL/IJCNLP (1) Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
2021	J	`jnl`	Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text. CoRR Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
2021	A	`conf`	Local Factor Models for Large-Scale Inductive Recommendation. RecSys Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais
2021	—	`conf`	Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications. EMNLP (Findings) Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, Weisheng Li
2021	A*	`conf`	Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources. CHI Amanda Swearngin, Shamsi T. Iqbal, Victor Poznanski, Mark J. Encarnación, Paul N. Bennett, Jaime Teevan
2021	J	`jnl`	SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. CoRR Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst
2021	J	`jnl`	Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. CoRR Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett
2020	A*	`conf`	Analyzing and Learning from User Interactions for Search Clarification. SIGIR Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
2020	J	`jnl`	Analyzing and Learning from User Interactions for Search Clarification. CoRR Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
2020	J	`jnl`	Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. CoRR Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk
2020	A*	`conf`	Contextual Re-Ranking with Behavior Aware Transformers. SIGIR Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett
2020	A	`conf`	Debiasing Item-to-Item Recommendations With Small Annotated Datasets. RecSys Tobias Schnabel, Paul N. Bennett
2020	A*	`conf`	Few-Shot Generative Conversational Query Rewriting. SIGIR Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu
2020	J	`jnl`	Few-Shot Generative Conversational Query Rewriting. CoRR Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu
2020	A*	`conf`	Generating Clarifying Questions for Information Retrieval. WWW Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck
2020	A*	`conf`	Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation. WWW Rohail Syed, Kevyn Collins-Thompson, Paul N. Bennett, Mengqiu Teng, Shane Williams, Wendy W. Tay, Shamsi T. Iqbal
2020	B	`conf`	Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. ICMR Jonathan Liono, Mohammad Saiedur Rahaman, Flora D. Salim, Yongli Ren, Damiano Spina, Falk Scholer, Johanne R. Trippas, Mark Sanderson, Paul N. Bennett, Ryen W. White
2020	J	`jnl`	Knowledge-Aware Language Model Pretraining. CoRR Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary
2020	A*	`conf`	Leading Conversational Search by Suggesting Useful Questions. WWW Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett
2020	—	`conf`	Leveraging Structured Metadata for Improving Question Answering on the Web. AACL/IJCNLP Xinya Du, Ahmed Hassan Awadallah, Adam Fourney, Robert Sim, Paul N. Bennett, Claire Cardie
2020	A*	`conf`	The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. SIGIR Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims
2020	A	`conf`	Toward Activity Discovery in the Personal Web. WSDM Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul N. Bennett
2020	A*	`conf`	Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. ICLR Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary
2019	A*	`conf`	Context-Aware Intent Identification in Email Conversations. SIGIR Wei Wang, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, Chris Quirk
2019	A*	`conf`	Generic Intent Representation in Web Search. SIGIR Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
2019	J	`jnl`	Generic Intent Representation in Web Search. CoRR Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary
2019	A*	`conf`	Guidelines for Human-AI Interaction. CHI Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi T. Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
2019	B	`conf`	Learning About Work Tasks to Inform Intelligent Assistant Design. CHIIR Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul N. Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
2019	J	`jnl`	Multi-device digital assistance. Commun. ACM Ryen W. White, Adam Fourney, Allen Herring, Paul N. Bennett, Nirupama Chandrasekaran, Robert Sim, Elnaz Nouri, Mark J. Encarnación
2019	A	`ed.`	Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019 WSDM J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman
2019	A	`conf`	Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory. WSDM Tobias Schnabel, Paul N. Bennett, Thorsten Joachims
2019	B	`conf`	Understanding Context for Tasks and Activities. CHIIR Jan R. Benetka, John Krumm, Paul N. Bennett
2019	A*	`conf`	Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. CHI Rafal Kocielnik, Saleema Amershi, Paul N. Bennett
2018	A*	`conf`	Calendar-Aware Proactive Email Recommendation. SIGIR Qian Zhao, Paul N. Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan T. Dumais
2018	J	`jnl`	Improving Recommender Systems Beyond the Algorithm. CoRR Tobias Schnabel, Paul N. Bennett, Thorsten Joachims
2018	A	`conf`	Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration. WSDM Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
2017	A	`conf`	Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu
2017	A*	`conf`	Characterizing and Predicting Enterprise Email Reply Behavior. SIGIR Liu Yang, Susan T. Dumais, Paul N. Bennett, Ahmed Hassan Awadallah
2017	A*	`conf`	Managing Uncertainty in Time Expressions for Virtual Assistants. CHI Xin Rong, Adam Fourney, Robin N. Brewer, Meredith Ringel Morris, Paul N. Bennett
2017	J	`jnl`	Overview of Special Issue. SIGIR Forum James Allan, Nicholas J. Belkin, Paul N. Bennett, Jamie Callan, Charles L. A. Clarke, Fernando Diaz, Susan T. Dumais, Nicola Ferro, Donna Harman, Djoerd Hiemstra, Ian Ruthven, Tetsuya Sakai, Mark D. Smucker, Justin Zobel
2017	B	`conf`	Self-Es: The Role of Emails-to-Self in Personal Information Management. CHIIR Horatiu S. Bota, Paul N. Bennett, Ahmed Hassan Awadallah, Susan T. Dumais
2016	A	`conf`	Analyzing and Predicting Task Reminders. UMAP David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
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`	Using Shortlists to Support Decision Making and Improve Recommender System Performance. WWW Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
2015	A	`conf`	Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection. CIKM Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
2015	A*	`conf`	Events and Controversies: Influences of a Shocking News Event on Information Seeking. WWW Danai Koutra, Paul N. Bennett, Eric Horvitz
2015	Misc	`conf`	Implicit Preference Labels for Learning Highly Selective Personalized Rankers. ICTIR Paul N. Bennett, Milad Shokouhi, Rich Caruana
2015	—	`conf`	Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track. TREC Paul N. Bennett, Ryen W. White
2015	A*	`conf`	Modeling Website Topic Cohesion at Scale to Improve Webpage Classification. SIGIR Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer III
2015	A*	`conf`	Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks. WWW Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
2015	J	`jnl`	Overview of the Special Issue on Contextual Search and Recommendation. ACM Trans. Inf. Syst. Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen W. White, Yi Zhang
2015	—	`conf`	Persona-ization: Searching on Behalf of Others. SPS@SIGIR Paul N. Bennett, Emre Kiciman
2015	A*	`conf`	Query Suggestion and Data Fusion in Contextual Disambiguation. WWW Milad Shokouhi, Marc Sloan, Paul N. Bennett, Kevyn Collins-Thompson, Siranush Sarkizova
2015	—	`conf`	Search from Personal to Social Context: Progress and Challenges. SPS@SIGIR Paul N. Bennett
2015	J	`jnl`	Using Shortlists to Support Decision Making and Improve Recommender System Performance. CoRR Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
2014	A	`conf`	Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. CIKM Joseph John Pfeiffer III, Jennifer Neville, Paul N. Bennett
2014	A*	`conf`	Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. ICDM Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
2014	J	`jnl`	Events and Controversies: Influences of a Shocking News Event on Information Seeking. CoRR Danai Koutra, Paul N. Bennett, Eric Horvitz
2014	J	`jnl`	Report on the sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13). SIGIR Forum Paul N. Bennett, Evgeniy Gabrilovich, Jaap Kamps, Jussi Karlgren
2014	—	`conf`	TREC 2014 Web Track Overview. TREC Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees
2014	J	`jnl`	Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance. ACM Trans. Inf. Syst. Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
2013	A	`conf`	Designing Human-Readable User Profiles for Search Evaluation. ECIR Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais
2013	—	`ed.`	ESAIR'13, Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, co-located with CIKM 2013, San Francisco, CA, USA, October 28, 2013 ESAIR Paul N. Bennett, Evgeniy Gabrilovich, Jaap Kamps, Jussi Karlgren
2013	A*	`conf`	Fighting search engine amnesia: reranking repeated results. SIGIR Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
2013	A	`conf`	Pairwise ranking aggregation in a crowdsourced setting. WSDM Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz
2013	A	`conf`	Personalizing atypical web search sessions. WSDM Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais
2013	A	`conf`	Predicting content change on the web. WSDM Kira Radinsky, Paul N. Bennett
2013	A	`conf`	Sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13). CIKM Paul N. Bennett, Evgeniy Gabrilovich, Jaap Kamps, Jussi Karlgren
2013	—	`conf`	TREC 2013 Web Track Overview. TREC Kevyn Collins-Thompson, Paul N. Bennett, Fernando Diaz, Charlie Clarke, Ellen M. Voorhees
2013	A*	`conf`	Toward whole-session relevance: exploring intrinsic diversity in web search. SIGIR Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
2012	A*	`conf`	Active query selection for learning rankers. SIGIR Mustafa Bilgic, Paul N. Bennett
2012	A*	`conf`	Anticipatory search: using context to initiate search. SIGIR Daniel J. Liebling, Paul N. Bennett, Ryen W. White
2012	A	`conf`	Characterizing web content, user interests, and search behavior by reading level and topic. WSDM Jin Young Kim, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais
2012	—	`conf`	Leveraging interlingual classification to improve web search. WWW (Companion Volume) Jagadeesh Jagarlamudi, Paul N. Bennett, Krysta M. Svore
2012	A*	`conf`	Modeling the impact of short- and long-term behavior on search personalization. SIGIR Paul N. Bennett, Ryen W. White, Wei Chu, Susan T. Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui
2012	A	`conf`	Probabilistic models for personalizing web search. WSDM David A. Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan T. Dumais, Bodo Billerbeck
2012	A*	`conf`	Robust ranking models via risk-sensitive optimization. SIGIR Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompson
2012	A*	`conf`	Search, interrupted: understanding and predicting search task continuation. SIGIR Eugene Agichtein, Ryen W. White, Susan T. Dumais, Paul N. Bennett
2011	A	`conf`	Detecting duplicate web documents using clickthrough data. WSDM Filip Radlinski, Paul N. Bennett, Emine Yilmaz
2011	J	`jnl`	Enriching information retrieval. SIGIR Forum Paul N. Bennett, Khalid El-Arini, Thorsten Joachims, Krysta M. Svore
2011	A	`conf`	Fractional Similarity: Cross-Lingual Feature Selection for Search. ECIR Jagadeesh Jagarlamudi, Paul N. Bennett
2011	A*	`conf`	Inferring and using location metadata to personalize web search. SIGIR Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz
2011	—	`conf`	Learning to Rank Using an Ensemble of Lambda-Gradient Models. Yahoo! Learning to Rank Challenge Christopher J. C. Burges, Krysta M. Svore, Paul N. Bennett, Andrzej Pastusiak, Qiang Wu
2011	A*	`conf`	Modeling and analysis of cross-session search tasks. SIGIR Alexander Kotov, Paul N. Bennett, Ryen W. White, Susan T. Dumais, Jaime Teevan
2011	A	`conf`	Personalizing web search results by reading level. CIKM Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Sebastian de la Chica, David A. Sontag
2011	A*	`conf`	The effects of choice in routing relevance judgments. SIGIR Edith Law, Paul N. Bennett, Eric Horvitz
2010	A*	`conf`	Classification-enhanced ranking. WWW Paul N. Bennett, Krysta M. Svore, Susan T. Dumais
2010	A	`conf`	Online stratified sampling: evaluating classifiers at web-scale. CIKM Paul N. Bennett, Vitor R. Carvalho
2010	A	`conf`	Predicting Query Performance via Classification. ECIR Kevyn Collins-Thompson, Paul N. Bennett
2010	A	`conf`	Predicting short-term interests using activity-based search context. CIKM Ryen W. White, Paul N. Bennett, Susan T. Dumais
2009	J	`jnl`	A report on the human computation workshop (HComp 2009). SIGKDD Explor. Panagiotis G. Ipeirotis, Raman Chandrasekar, Paul N. Bennett
2009	A*	`conf`	Estimating query performance using class predictions. SIGIR Kevyn Collins-Thompson, Paul N. Bennett
2009	A*	`conf`	Learning consensus opinion: mining data from a labeling game. WWW Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
2009	—	`conf`	Picture this: preferences for image search. KDD Workshop on Human Computation Paul N. Bennett, David Maxwell Chickering, Anton Mityagin
2009	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009 KDD Workshop on Human Computation Paul N. Bennett, Raman Chandrasekar, Max Chickering, Panagiotis G. Ipeirotis, Edith Law, Anton Mityagin, Foster J. Provost, Luis von Ahn
2009	J	`jnl`	Redundancy, diversity and interdependent document relevance. SIGIR Forum Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims
2009	A*	`conf`	Refined experts: improving classification in large taxonomies. SIGIR Paul N. Bennett, Nam Nguyen
2009	A*	`conf`	Tutorial summary: Machine learning in IR: recent successes and new opportunities. ICML Paul N. Bennett, Misha Bilenko, Kevyn Collins-Thompson
2008	J	`jnl`	Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims
2008	A*	`conf`	Evaluation measures for preference judgments. SIGIR Ben Carterette, Paul N. Bennett
2008	A	`conf`	Here or There. ECIR Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais
2007	—	`conf`	Combining Probability-Based Rankers for Action-Item Detection. HLT-NAACL Paul N. Bennett, Jaime G. Carbonell
2007	—	`conf`	Dual Strategy Active Learning. ECML Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
2007	—	`conf`	Neighborhood-Based Local Sensitivity. ECML Paul N. Bennett
2005	A*	`conf`	Detecting action-items in e-mail. SIGIR Paul N. Bennett, Jaime G. Carbonell
2005	J	`jnl`	The Combination of Text Classifiers Using Reliability Indicators. Inf. Retr. Paul N. Bennett, Susan T. Dumais, Eric Horvitz
2003	—	`conf`	Reducing boundary friction using translation-fragment overlap. MTSummit Ralf D. Brown, Rebecca Hutchinson, Paul N. Bennett, Jaime G. Carbonell, Peter J. Jansen
2003	A*	`conf`	Using asymmetric distributions to improve text classifier probability estimates. SIGIR Paul N. Bennett
2002	A*	`conf`	Probabilistic combination of text classifiers using reliability indicators: models and results. SIGIR Paul N. Bennett, Susan T. Dumais, Eric Horvitz