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Mounia Lalmas

Mounia Lalmas

D-Index & Metrics

Computer Science

D-Index
62
Citations
12377
World Ranking
2958
National Ranking
11

Overview

Mounia Lalmas is affiliated with Spotify in Sweden and has contributed extensively to research in computer science, with a focus on artificial intelligence, signal processing, management science and operations research, information systems, and computer vision and pattern recognition. Their work spans 21 publications primarily in computer science and relevant subfields.

Their research covers topics including music and audio processing, advanced bandit algorithms research, recommender systems and techniques, social media and politics, misinformation and its impacts, music technology and sound studies, and complex network analysis techniques.

Frequent co-authors of Mounia Lalmas include Rishabh Mehrotra, Ghazal Fazelnia, Benjamin Carterette, Ben Carterette, and Praveen Chandar.

The scientist's work has been published in several venues, with multiple publications in arXiv (Cornell University), the Proceedings of the ACM Web Conference 2022, Companion Proceedings of the Web Conference 2020, Proceedings of the International AAAI Conference on Web and Social Media, and the Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.

Recent notable papers include:

  • Transient News Crowds in Social Media, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems, 2020, Companion Proceedings of the Web Conference 2020
  • Representativeness of Abortion Legislation Debate on Twitter: A Case Study in Argentina and Chile, 2020, Companion Proceedings of the Web Conference 2020
  • Variational User Modeling with Slow and Fast Features, 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations, 2022, Proceedings of the ACM Web Conference 2022

Best Publications

  • A survey on the use of relevance feedback for information access systems

    Ian Ruthven;Mounia Lalmas

  • Models of user engagement

    Janette Lehmann;Mounia Lalmas;Elad Yom-Tov;Georges Dupret

  • Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

    Ricardo Baeza-Yates;Mounia Lalmas;Alistair Moffat;Berthier Ribeiro-Neto

  • “Is this document relevant?…probably”: a survey of probabilistic models in information retrieval

    Fabio Crestani;Mounia Lalmas;Cornelis J. Van Rijsbergen;Iain Campbell

  • Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems

    Rishabh Mehrotra;James McInerney;Hugues Bouchard;Mounia Lalmas

  • Measuring User Engagement

    Mounia Lalmas;Heather O'Brien;Elad Yom-Tov

  • Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking

    Gabriele Tolomei;Fabrizio Silvestri;Andrew Haines;Mounia Lalmas

  • Sound and complete relevance assessment for XML retrieval

    Benjamin Piwowarski;Andrew Trotman;Mounia Lalmas

  • Advances in XML Information Retrieval and Evaluation

    Norbert Fuhr;Mounia Lalmas;Saadia Malik;Gabriella Kazai

  • Algorithmic Effects on the Diversity of Consumption on Spotify

    Ashton Anderson;Lucas Maystre;Ian Anderson;Rishabh Mehrotra

  • Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, Germany, December 17-19, 2007. Selected Papers

    Norbert Fuhr;Jaap Kamps;Mounia Lalmas;Andrew Trotman

  • Dempster-Shafer's theory of evidence applied to structured documents: modelling uncertainty

    Mounia Lalmas

  • User engagement in online News: Under the scope of sentiment, interest, affect, and gaze

    Ioannis Arapakis;Mounia Lalmas;Berkant Barla Cambazoglu;Mari-Carmen Marcos

  • The overlap problem in content-oriented XML retrieval evaluation

    Gabriella Kazai;Mounia Lalmas;Arjen P. de Vries

  • Social media news communities: gatekeeping, coverage, and statement bias

    Diego Saez-Trumper;Carlos Castillo;Mounia Lalmas

  • First Women, Second Sex: Gender Bias in Wikipedia

    Eduardo Graells-Garrido;Mounia Lalmas;Filippo Menczer

  • Overview of the INEX 2007 Entity Ranking Track

    Arjen P. Vries;Anne-Marie Vercoustre;James A. Thom;Nick Craswell

  • Comparative Evaluation of XML Information Retrieval Systems: 5th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2006 Dagstuhl Castle, Germany, December 17-20, 2006 Revised and Selected Papers

    Norbert Fuhr;Mounia Lalmas;Andrew Trotman

  • INEX 2005 evaluation measures

    Gabriella Kazai;Mounia Lalmas

  • INEX 2007 Evaluation Measures

    Jaap Kamps;Jovan Pehcevski;Gabriella Kazai;Mounia Lalmas

  • INEX 2005 evaluation measures

    Gabriella Kazai;Mounia Lalmas

  • SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

    Tobias Blanke;M. Lalmas

Frequent Co-Authors

Gabriella Kazai
Gabriella Kazai Microsoft (United States)
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen
Ricardo Baeza-Yates
Ricardo Baeza-Yates Royal Institute of Technology
Joemon M. Jose
Joemon M. Jose University of Glasgow
Ian Ruthven
Ian Ruthven University of Strathclyde
Jaap Kamps
Jaap Kamps University of Amsterdam
Fabrizio Silvestri
Fabrizio Silvestri Sapienza University of Rome
Fabio Crestani
Fabio Crestani Universita della Svizzera Italiana
Ralf Schenkel
Ralf Schenkel University of Trier
Matt Jones
Matt Jones Swansea University

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