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Paul N. Bennett
Paul Bennett 0001
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (PhD 2006): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Paul Bennett — disambiguation page
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2020 – today
- 2024
- [c100]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:
PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. CIKM 2024: 4487-4495 - [c99]Qi Chen
, Xiubo Geng
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [i24]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:
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR abs/2405.07526 (2024) - 2023
- [b1]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. The Information Retrieval Series 44, Springer 2023, ISBN 978-3-031-23079-0, pp. 1-192 - [c98]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. EMNLP 2023: 1796-1812 - [c97]Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul N. Bennett:
Axiomatic Preference Modeling for Longform Question Answering. EMNLP 2023: 11445-11475 - [i23]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - [i22]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:
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR abs/2305.00970 (2023) - [i21]Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul Bennett:
Axiomatic Preference Modeling for Longform Question Answering. CoRR abs/2312.02206 (2023) - 2022
- [j13]Yonchanok Khaokaew
Imagining future digital assistants at work: A study of task management needs. Int. J. Hum. Comput. Stud. 168: 102905 (2022) - [j12]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. Trans. Assoc. Comput. Linguistics 10: 163-177 (2022) - [c96]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. ACL (Findings) 2022: 4008-4020 - [c95]Yu Meng
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR 2022 - [i20]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. CoRR abs/2201.05176 (2022) - [i19]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR abs/2204.03243 (2022) - [i18]Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao:
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR abs/2204.06644 (2022) - [i17]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
Imagining Future Digital Assistants at Work: A Study of Task Management Needs. CoRR abs/2208.03443 (2022) - 2021
- [c94]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. ACL/IJCNLP (1) 2021: 5030-5043 - [c93]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. ACL/IJCNLP (1) 2021: 6365-6378 - [c92]Amanda Swearngin, Shamsi T. Iqbal, Victor Poznanski, Mark J. Encarnación, Paul N. Bennett, Jaime Teevan:
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources. CHI 2021: 641:1-641:14 - [c91]Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, Weisheng Li:
Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications. EMNLP (Findings) 2021: 2017-2029 - [c90]Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. EMNLP (1) 2021: 2780-2791 - [c89]Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ICLR 2021 - [c88]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:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD 2021: 3717-3725 - [c87]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS 2021: 23102-23114 - [c86]Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais:
Local Factor Models for Large-Scale Inductive Recommendation. RecSys 2021: 252-262 - [i16]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR abs/2102.08473 (2021) - [i15]Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. CoRR abs/2102.09206 (2021) - [i14]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:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR abs/2106.13375 (2021) - [i13]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text. CoRR abs/2107.03444 (2021) - [i12]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. CoRR abs/2110.07581 (2021) - [i11]Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. CoRR abs/2111.09525 (2021) - 2020
- [j11]Hamid Motahari, Nigel P. Duffy, Paul Bennett, Tania Bedrax-Weiss:
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. SIGKDD Explor. 22(2): 8-11 (2020) - [c85]Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. ICLR 2020 - [c84]Xinya Du, Ahmed Hassan Awadallah, Adam Fourney, Robert Sim, Paul N. Bennett, Claire Cardie:
Leveraging Structured Metadata for Improving Question Answering on the Web. AACL/IJCNLP 2020: 551-556 - [c83]Jonathan Liono, Mohammad Saiedur Rahaman
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. ICMR 2020: 472-478 - [c82]Tobias Schnabel, Paul N. Bennett:
Debiasing Item-to-Item Recommendations With Small Annotated Datasets. RecSys 2020: 73-81 - [c81]Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims:
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. SIGIR 2020: 991-1000 - [c80]Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. SIGIR 2020: 1181-1190 - [c79]Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett:
Contextual Re-Ranking with Behavior Aware Transformers. SIGIR 2020: 1589-1592 - [c78]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu
Few-Shot Generative Conversational Query Rewriting. SIGIR 2020: 1933-1936 - [c77]Jianfeng Gao, Chenyan Xiong, Paul Bennett:
Recent Advances in Conversational Information Retrieval. SIGIR 2020: 2421-2424 - [c76]Tara Safavi, Adam Fourney
Toward Activity Discovery in the Personal Web. WSDM 2020: 492-500 - [c75]Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck:
Generating Clarifying Questions for Information Retrieval. WWW 2020: 418-428 - [c74]Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. WWW 2020: 1160-1170 - [c73]Rohail Syed, Kevyn Collins-Thompson, Paul N. Bennett, Mengqiu Teng, Shane Williams, Wendy W. Tay, Shamsi T. Iqbal:
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation. WWW 2020: 1693-1703 - [i10]Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. CoRR abs/2006.00166 (2020) - [i9]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. CoRR abs/2006.05009 (2020) - [i8]Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Knowledge-Aware Language Model Pretraining. CoRR abs/2007.00655 (2020) - [i7]Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. CoRR abs/2007.00808 (2020) - [i6]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i5]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. CoRR abs/2012.14862 (2020)
2010 – 2019
- 2019
- [j10]Ryen W. White, Adam Fourney
Multi-device digital assistance. Commun. ACM 62(10): 28-31 (2019) - [c72]Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney
Guidelines for Human-AI Interaction. CHI 2019: 3 - [c71]Rafal Kocielnik
Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. CHI 2019: 411 - [c70]Johanne R. Trippas
Learning About Work Tasks to Inform Intelligent Assistant Design. CHIIR 2019: 5-14 - [c69]Jan R. Benetka, John Krumm, Paul N. Bennett:
Understanding Context for Tasks and Activities. CHIIR 2019: 133-142 - [c68]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. SIGIR 2019: 65-74 - [c67]Wei Wang, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, Chris Quirk:
Context-Aware Intent Identification in Email Conversations. SIGIR 2019: 585-594 - [c66]Tobias Schnabel, Paul N. Bennett, Thorsten Joachims:
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory. WSDM 2019: 546-554 - [e4]J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. ACM 2019, ISBN 978-1-4503-5940-5 [contents] - [i4]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. CoRR abs/1907.10710 (2019) - 2018
- [c65]Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. CIKM 2018: 1133-1142 - [c64]Qian Zhao, Paul N. Bennett, Adam Fourney
Calendar-Aware Proactive Email Recommendation. SIGIR 2018: 655-664 - [c63]Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims:
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration. WSDM 2018: 513-521 - [i3]Tobias Schnabel, Paul N. Bennett, Thorsten Joachims:
Improving Recommender Systems Beyond the Algorithm. CoRR abs/1802.07578 (2018) - 2017
- [j9]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:
Overview of Special Issue. SIGIR Forum 51(2): 1-25 (2017) - [c62]Xin Rong, Adam Fourney
Managing Uncertainty in Time Expressions for Virtual Assistants. CHI 2017: 568-579 - [c61]Horatiu S. Bota, Paul N. Bennett, Ahmed Hassan Awadallah, Susan T. Dumais:
Self-Es: The Role of Emails-to-Self in Personal Information Management. CHIIR 2017: 205-214 - [c60]Liu Yang, Susan T. Dumais, Paul N. Bennett, Ahmed Hassan Awadallah:
Characterizing and Predicting Enterprise Email Reply Behavior. SIGIR 2017: 235-244 - [c59]Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu:
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. WSDM 2017: 711-719 - 2016
- [c58]David Graus
Analyzing and Predicting Task Reminders. UMAP 2016: 7-15 - [c57]Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims:
Using Shortlists to Support Decision Making and Improve Recommender System Performance. WWW 2016: 987-997 - [e3]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
- [j8]Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen W. White, Yi Zhang:
Overview of the Special Issue on Contextual Search and Recommendation. ACM Trans. Inf. Syst. 33(1): 1e:1-1e:7 (2015) - [c56]Ashiqur R. KhudaBukhsh
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection. CIKM 2015: 1735-1738 - [c55]Paul N. Bennett, Milad Shokouhi, Rich Caruana:
Implicit Preference Labels for Learning Highly Selective Personalized Rankers. ICTIR 2015: 291-300 - [c54]Paul N. Bennett:
Search from Personal to Social Context: Progress and Challenges. SPS@SIGIR 2015: 2 - [c53]Paul N. Bennett, Emre Kiciman:
Persona-ization: Searching on Behalf of Others. SPS@SIGIR 2015: 26-32 - [c52]Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer III:
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification. SIGIR 2015: 787-790 - [c51]Paul N. Bennett, Ryen W. White:
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track. TREC 2015 - [c50]Danai Koutra, Paul N. Bennett, Eric Horvitz:
Events and Controversies: Influences of a Shocking News Event on Information Seeking. WWW 2015: 614-624 - [c49]Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks. WWW 2015: 853-863 - [c48]Milad Shokouhi, Marc Sloan, Paul N. Bennett, Kevyn Collins-Thompson, Siranush Sarkizova:
Query Suggestion and Data Fusion in Contextual Disambiguation. WWW 2015: 971-980 - [i2]Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims:
Using Shortlists to Support Decision Making and Improve Recommender System Performance. CoRR abs/1510.07545 (2015) - 2014
- [j7]Paul N. Bennett, Evgeniy Gabrilovich, Jaap Kamps, Jussi Karlgren
Report on the sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13). SIGIR Forum 48(1): 13-20 (2014) - [j6]Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson:
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance. ACM Trans. Inf. Syst. 32(4): 20:1-20:45 (2014) - [c47]Joseph John Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. CIKM 2014: 639-648 - [c46]Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. ICDM 2014: 490-499 - [c45]Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees:
TREC 2014 Web Track Overview. TREC 2014 - [i1]Danai Koutra, Paul N. Bennett, Eric Horvitz:
Events and Controversies: Influences of a Shocking News Event on Information Seeking. CoRR abs/1405.1486 (2014) - 2013
- [c44]Paul Bennett:
Mining and learning from context in search. CaRR@WSDM 2013: 1 - [c43]Paul Bennett, C. Lee Giles
Channeling the deluge: research challenges for big data and information systems. CIKM 2013: 2537-2538 - [c42]Paul N. Bennett, Evgeniy Gabrilovich
Sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13). CIKM 2013: 2543-2544 - [c41]Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais:
Designing Human-Readable User Profiles for Search Evaluation. ECIR 2013: 701-705 - [c40]Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski:
Fighting search engine amnesia: reranking repeated results. SIGIR 2013: 273-282 - [c39]Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson:
Toward whole-session relevance: exploring intrinsic diversity in web search. SIGIR 2013: 463-472 - [c38]Kevyn Collins-Thompson, Paul N. Bennett, Fernando Diaz, Charlie Clarke, Ellen M. Voorhees:
TREC 2013 Web Track Overview. TREC 2013 - [c37]Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz:
Pairwise ranking aggregation in a crowdsourced setting. WSDM 2013: 193-202 - [c36]Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais:
Personalizing atypical web search sessions. WSDM 2013: 285-294 - [c35]Kira Radinsky, Paul N. Bennett:
Predicting content change on the web. WSDM 2013: 415-424 - [e2]Paul N. Bennett, Evgeniy Gabrilovich, Jaap Kamps, Jussi Karlgren:
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. ACM 2013, ISBN 978-1-4503-2413-7 [contents] - 2012
- [c34]Paul N. Bennett, Ryen W. White, Wei Chu, Susan T. Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui:
Modeling the impact of short- and long-term behavior on search personalization. SIGIR 2012: 185-194 - [c33]Eugene Agichtein, Ryen W. White, Susan T. Dumais, Paul N. Bennett:
Search, interrupted: understanding and predicting search task continuation. SIGIR 2012: 315-324 - [c32]Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompson:
Robust ranking models via risk-sensitive optimization. SIGIR 2012: 761-770 - [c31]Mustafa Bilgic, Paul N. Bennett:
Active query selection for learning rankers. SIGIR 2012: 1033-1034 - [c30]Daniel J. Liebling, Paul N. Bennett, Ryen W. White:
Anticipatory search: using context to initiate search. SIGIR 2012: 1035-1036 - [c29]Jin Young Kim, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais:
Characterizing web content, user interests, and search behavior by reading level and topic. WSDM 2012: 213-222 - [c28]David A. Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan T. Dumais, Bodo Billerbeck:
Probabilistic models for personalizing web search. WSDM 2012: 433-442 - [c27]Jagadeesh Jagarlamudi, Paul N. Bennett, Krysta M. Svore:
Leveraging interlingual classification to improve web search. WWW (Companion Volume) 2012: 535-536 - 2011
- [j5]Paul N. Bennett, Khalid El-Arini, Thorsten Joachims, Krysta M. Svore:
Enriching information retrieval. SIGIR Forum 45(2): 60-65 (2011) - [c26]Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Sebastian de la Chica, David A. Sontag:
Personalizing web search results by reading level. CIKM 2011: 403-412 - [c25]Jagadeesh Jagarlamudi, Paul N. Bennett:
Fractional Similarity: Cross-Lingual Feature Selection for Search. ECIR 2011: 226-237 - [c24]Alexander Kotov
Modeling and analysis of cross-session search tasks. SIGIR 2011: 5-14 - [c23]Paul N. Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz:
Inferring and using location metadata to personalize web search. SIGIR 2011: 135-144 - [c22]Edith Law, Paul N. Bennett, Eric Horvitz:
The effects of choice in routing relevance judgments. SIGIR 2011: 1127-1128 - [c21]Paul Bennett, Ece Kamar, Gabriella Kazai:
MSRC at TREC 2011 Crowdsourcing Track. TREC 2011 - [c20]Filip Radlinski, Paul N. Bennett, Emine Yilmaz:
Detecting duplicate web documents using clickthrough data. WSDM 2011: 147-156 - [c19]Christopher J. C. Burges, Krysta M. Svore, Paul N. Bennett, Andrzej Pastusiak, Qiang Wu:
Learning to Rank Using an Ensemble of Lambda-Gradient Models. Yahoo! Learning to Rank Challenge 2011: 25-35 - 2010
- [c18]Ryen W. White, Paul N. Bennett, Susan T. Dumais:
Predicting short-term interests using activity-based search context. CIKM 2010: 1009-1018 - [c17]Paul N. Bennett, Vitor R. Carvalho:
Online stratified sampling: evaluating classifiers at web-scale. CIKM 2010: 1581-1584 - [c16]Kevyn Collins-Thompson, Paul N. Bennett:
Predicting Query Performance via Classification. ECIR 2010: 140-152 - [c15]Paul N. Bennett, Krysta M. Svore, Susan T. Dumais:
Classification-enhanced ranking. WWW 2010: 111-120
2000 – 2009
- 2009
- [j4]Filip Radlinski, Paul N. Bennett, Ben Carterette, Thorsten Joachims:
Redundancy, diversity and interdependent document relevance. SIGIR Forum 43(2): 46-52 (2009) - [j3]Panagiotis G. Ipeirotis
A report on the human computation workshop (HComp 2009). SIGKDD Explor. 11(2): 80-83 (2009) - [c14]Paul N. Bennett, Misha Bilenko, Kevyn Collins-Thompson:
Tutorial summary: Machine learning in IR: recent successes and new opportunities. ICML 2009: 17 - [c13]Paul N. Bennett, David Maxwell Chickering, Anton Mityagin:
Picture this: preferences for image search. KDD Workshop on Human Computation 2009: 25-26 - [c12]Paul N. Bennett, Nam Nguyen:
Refined experts: improving classification in large taxonomies. SIGIR 2009: 11-18 - [c11]Kevyn Collins-Thompson, Paul N. Bennett:
Estimating query performance using class predictions. SIGIR 2009: 672-673 - [c10]Paul N. Bennett, David Maxwell Chickering, Anton Mityagin:
Learning consensus opinion: mining data from a labeling game. WWW 2009: 121-130 - [e1]Paul N. Bennett, Raman Chandrasekar, Max Chickering, Panagiotis G. Ipeirotis, Edith Law, Anton Mityagin, Foster J. Provost, Luis von Ahn:
Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-672-4 [contents] - 2008
- [j2]Paul N. Bennett, Ben Carterette, Olivier Chapelle, Thorsten Joachims:
Beyond binary relevance: preferences, diversity, and set-level judgments. SIGIR Forum 42(2): 53-58 (2008) - [c9]Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Susan T. Dumais:
Here or There. ECIR 2008: 16-27 - [c8]Ben Carterette, Paul N. Bennett:
Evaluation measures for preference judgments. SIGIR 2008: 685-686 - 2007
- [c7]Paul N. Bennett:
Neighborhood-Based Local Sensitivity. ECML 2007: 30-41 - [c6]Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett:
Dual Strategy Active Learning. ECML 2007: 116-127 - [c5]Paul N. Bennett, Jaime G. Carbonell:
Combining Probability-Based Rankers for Action-Item Detection. HLT-NAACL 2007: 324-331 - 2005
- [j1]Paul N. Bennett, Susan T. Dumais, Eric Horvitz:
The Combination of Text Classifiers Using Reliability Indicators. Inf. Retr. 8(1): 67-100 (2005) - [c4]Paul N. Bennett, Jaime G. Carbonell:
Detecting action-items in e-mail. SIGIR 2005: 585-586 - 2003
- [c3]Ralf D. Brown, Rebecca Hutchinson, Paul N. Bennett, Jaime G. Carbonell, Peter J. Jansen:
Reducing boundary friction using translation-fragment overlap. MTSummit 2003 - [c2]Paul N. Bennett:
Using asymmetric distributions to improve text classifier probability estimates. SIGIR 2003: 111-118 - 2002
- [c1]Paul N. Bennett, Susan T. Dumais, Eric Horvitz:
Probabilistic combination of text classifiers using reliability indicators: models and results. SIGIR 2002: 207-214
Coauthor Index
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