Portrait of Paul Bennett

Paul Bennett

Partner Research Manager

Professional Service and Past Interns

Professional Service

Tutorials

  • ICML 2009 Tutorial on Machine Learning in IR
  • ECIR 2010 Tutorial on Machine Learning in IR: Recent Successes and New Opportunities

Reviewing and Organizational Service

Journal Editorial Service

  • Guest Editor-in-Chief, ACM Transactions on Information Systems, Special Issue on Contextual Search and Recommendation.
  • Editorial Board, Information Retrieval Journal (2017-2018).

Conference Organization

Senior Program Committees

  • CIKM SPC 2011-2013.
  • HComp 2013 Best Paper Committee.
  • ICML Area Chair, 2015.
  • SIGIR SPC, 2013-2015, 2017, 2019.
  • SIGKDD SPC 2014-2017.
  • SIGKDD Best Applied Data Science Paper Committee 2019.
  • WSDM SPC 2018.
  • WWW SPC 2018.

Conference Program Committees

  • AAAI Doctoral Consortium 2008-2010.
  • ACL 2008.
  • CHI 2009.
  • CIKM 2010, CIKM SPC 2011.
  • ECIR 2008-2010.
  • ECML 2008 Workshop on Preference Learning.
  • ECML 2009-2010.
  • EMNLP 2012.
  • HLT-NAACL 2007.
  • HCOMP 2009-2011, 2013-2014.
  • ICML 2010-2013.
  • IIIX 2012.
  • NeurIPS 2019.
  • SDM 2013.
  • SIGIR 2004-2011.
  • SIGIR 2011 Crowdsourcing for IR Workshop
  • SIGKDD 2011, 2013.
  • WSDM 2011, 2013, 2015.
  • WWW 2010-2013.

Journal Reviewing

  • Reviewer for the Journal of Artificial Intelligence Research (JAIR).
  • Reviewer for the Journal of the American Society for Information Science and Technology (JASIST).
  • Reviewer for the Journal of Machine Learning Research (JMLR).
  • Reviewer for ACM Transactions on Informations Systems (TOIS).
  • Reviewer for ACM Transactions on Internet Technology (TOIT).
  • Reviewer ACM Transactions on the Web (TWeb).

Other

  • Co-organizer IR Seminar Series, Summer 2004 – Summer 2005.

Dissertation Committees

  • Tobias Schnabel, Cornell University (Advisor: Thorsten Joachims). Computer Science Department. Designing Learning Algorithms and Human Behavior for Interactive Systems.
  • Hyunjoon Jung, University of Texas at Austin (Advisor: Matt Lease). School of Information. Temporal Modeling of Crowd Work Quality for Quality Assurance in Crowdsourcing. Defended, November, 2015.
  • Karthik Raman, Cornell University (Advisor: Thorsten Joachims). Computer Science Department. Machine Learning from Human Preferences and Choices. Defended, June, 2015.
  • Joel Pfeiffer, Purdue University (Advisor: Jennifer Neville). Computer Science Department. Overcoming Uncertainty for Within-Network Statistical Relational Learning. Defended, December 2014.

Current & Former Intern Collaborators

Current & Former Intern Collaborators

Current affiliation (affiliation at time of internship if different)

  • Jan Benetka, PhD Student, Norwegian University of Science and Technology, Computer Science
  • Mustafa Bilgic, Associate Professor, Illinois Institute of Technology (University of Maryland, Computer Science)
  • Fedor Borisyuk, Senior Software Engineer, LinkedIn, (Nizhny Novgorod State University, Computer Science)
  • Horatiu Bota, PhD Student, University of Glasgow, Computer Science
  • Ben Carterette, Associate Professor, Computer & Information Sciences, University of Delaware (University of Massachusetts, Computer Science)
  • Xi Chen, Assistant Professor, NYU Stern (Carnegie Mellon University, Machine Learning Department)
  • Carsten Eickhoff, Postdoctoral Researcher, ETH Zurich (TU Delft, Computer Science)
  • Dhivya Eswaran, PhD Student, Carnegie Mellon University, Computer Science (IIT Madras, Computer Science)
  • Shobeir Fakhraei, Research Scientist, University of Southern California Information Sciences Institute (University of Maryland College Park, Computer Science)
  • Alexander Fishkov, PhD Student, Saint Petersburg Academic University of the Russian Academy of Sciences, Applied Mathematics and Informatics
  • Cristina Garbacea, PhD Student, University of Michigan, School of Information (University of Amsterdam, Computer Science)
  • David Graus, Data Scientist, FD Mediagroup (University of Amsterdam, Computer Science)
  • Ahmed Hefny, PhD Student, Carnegie Mellon University, Machine Learning Department
  • Jagadeesh Jagarlamudi, Software Engineer, Google (University of Maryland, Computer Science)
  • Ashiqur KhudaBukhsh, PhD Student, Carnegie Mellon University, Computer Science Department
  • Jin Kim, Data Scientist, Snap (University of Massachusetts, Computer Science)
  • Alex Kotov, Assistant Professor, Wayne State University, Computer Science (University of Illinois-UC, Computer Science)
  • Danai Koutra, Assistant Professor, University of Michigan, Computer Science & Engineering (Carnegie Mellon University, Computer Science)
  • Edith Law, Assistant Professor, University of Waterloo, Computer Science (Carnegie Mellon University, Machine Learning Department)
  • Jay-Yoon Lee, PhD Student, Carnegie Mellon University, Computer Science Department
  • Rishabh Mehrotra, PhD Student, University College London, Computer Science Department
  • Nam Nguyen, Software Engineer, Facebook (Cornell University, Computer Science)
  • Jason Portenoy, PhD Student, University of Washington, Information School
  • Joel Pfeiffer, Applied Researcher, Microsoft (Purdue University, Computer Science)
  • Kira Radinsky, Chief Scientist (IL) & Director of Data Science, eBay (Technion, Israel Institute of Technology)
  • Karthik Raman, Research Scientist, Google (Cornell University, Computer Science)
  • Xin Rong, PhD Student, University of Michigan, School of Information
  • Tobias Schnabel, PhD Student, Cornell University, Computer Science Department
  • Marc Sloan, Co-founder & CEO of Context Scout (University College London, Computer Science)
  • Lidan Wang, Research Scientist, IBM T.J. Watson (University of Maryland, Computer Science)
  • Yue Wang, PhD Student, EE & CS Department
  • Rongjing Xiang, Software Engineer, Google (Purdue University, Computer Science)
  • Qian Zhao, PhD Student, University of Minnesota, Computer Science