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Ben Carterette

Ben Carterette

D-Index & Metrics

Computer Science

D-Index
46
Citations
7863
World Ranking
6893
National Ranking
3021

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Ben Carterette is affiliated with Spotify, US in the United States and works primarily in the field of Computer Science. Their research encompasses a range of subfields including Information Systems, Artificial Intelligence, Management Science and Operations Research, Signal Processing, and Marketing.

The main topics of their work include:

  • Recommender Systems and Techniques
  • Information Retrieval and Search Behavior
  • Music and Audio Processing
  • Semantic Web and Ontologies
  • Advanced Text Analysis Techniques
  • Topic Modeling
  • Advanced Bandit Algorithms Research

Carterette's frequent co-authors are Rosie Jones, Jussi Karlgren, Mounia Lalmas, Ann Clifton, and Aasish Pappu. They have contributed to multiple publication venues, with the most frequent being arXiv (Cornell University), ACM SIGIR Forum, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), ACM Transactions on Information Systems, and ACM Transactions on Recommender Systems.

Some of the recent papers authored or co-authored by Carterette include:

  • How Am I Doing?: Evaluating Conversational Search Systems Offline, 2021, ACM Transactions on Information Systems
  • Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education, 2023, ACM SIGIR Forum
  • Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems, 2020, Companion Proceedings of the Web Conference 2020
  • Distributionally-Informed Recommender System Evaluation, 2023, ACM Transactions on Recommender Systems

Ben Carterette was recognized as an ACM Senior Member in 2020.

Best Publications

  • A comparison of statistical significance tests for information retrieval evaluation

    Mark D. Smucker;James Allan;Ben Carterette

  • Minimal test collections for retrieval evaluation

    Ben Carterette;James Allan;Ramesh Sitaraman

  • Here or There

    Ben Carterette;Paul N. Bennett;David Maxwell Chickering;Susan T. Dumais

  • Here or there: preference judgments for relevance

    Ben Carterette;Paul N. Bennett;David Maxwell Chickering;Susan T. Dumais

  • System effectiveness, user models, and user utility: a conceptual framework for investigation

    Ben Carterette

  • Evaluating Stochastic Rankings with Expected Exposure

    Fernando Diaz;Bhaskar Mitra;Michael D. Ekstrand;Asia J. Biega

  • Proceedings of the 7th ACM international conference on Web search and data mining

    Ben Carterette;Fernando Diaz;Carlos Castillo;Donald Metzler

  • Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks

    Ben Carterette;Rosie Jones

  • Redundancy, diversity and interdependent document relevance

    Filip Radlinski;Paul N. Bennett;Ben Carterette;Thorsten Joachims

  • Probabilistic models of ranking novel documents for faceted topic retrieval

    Ben Carterette;Praveen Chandar

  • Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms

    Alois Gruson;Praveen Chandar;Christophe Charbuillet;James McInerney

  • Evaluation over thousands of queries

    Ben Carterette;Virgil Pavlu;Evangelos Kanoulas;Javed A. Aslam

  • When will information retrieval be "good enough"?

    James Allan;Ben Carterette;Joshua Lewis

  • Million Query Track 2007 Overview

    James Allan;Ben Carterette;Javed A. Aslam;Virgil Pavlu

  • The effect of assessor error on IR system evaluation

    Ben Carterette;Ian Soboroff

  • On rank correlation and the distance between rankings

    Ben Carterette

  • Evaluating multi-query sessions

    Evangelos Kanoulas;Ben Carterette;Paul D. Clough;Mark Sanderson

  • An overview of the BioCreative 2012 Workshop Track III: interactive text mining task

    Cecilia N. Arighi;Ben Carterette;K. Bretonnel Cohen;Martin Krallinger

  • Million Query Track 2009 Overview.

    Ben Carterette;Virgiliu Pavlu;Hui Fang;Evangelos Kanoulas

  • Simulating simple user behavior for system effectiveness evaluation

    Ben Carterette;Evangelos Kanoulas;Emine Yilmaz

  • Million Query Track 2008 Overview

    James Allan;Javed A. Aslam;Ben Carterette;Virgil Pavlu

  • Probabilistic Models of Novel Document Rankings for Faceted Topic Retrieval

    Ben Carterette;Praveen Chandar

  • Preference Judgments for Relevance

    Ben Carterette;Paul N. Bennett;David Maxwell Chickering;Susan T. Dumais

Frequent Co-Authors

Evangelos Kanoulas
Evangelos Kanoulas University of Amsterdam
James Allan
James Allan University of Massachusetts Amherst
Paul Clough
Paul Clough University of Sheffield
Paul N. Bennett
Paul N. Bennett Microsoft (United States)
Fernando Diaz
Fernando Diaz Microsoft (United States)
Mark Sanderson
Mark Sanderson RMIT University
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Javed A. Aslam
Javed A. Aslam Northeastern University

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