Socially-Motivated Music Recommendation
Ben Lacker, Samuel Way
Algorithmic Responsibility
11 publications
September 2022 | RecSys
Challenges in Translating Research to Practice for Evaluating Fairness & Bias in Recommendation Systems
Lex Beattie, Dan Taber, Henriette Cramer
April 2022 | The Web Conference (WWW)
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
November 2021 | CIKM
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts
Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard,Yu Zhao, Benjamin Carterette and Mounia Lalmas
May 2021 | ICWSM
Representation of Music Creators on Wikipedia, Differences in Gender and Genre
Alice Wang, Aasish Pappu, Henriette Cramer
May 2021 | CHI
Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits
Brianna Richardson, Jean Garcia-Gathright, Samuel F. Way, Jennifer Thom, Henriette Cramer
October 2020 | ISMIR - International Society for Music Information Retrieval Conference
Artist gender representation in music streaming
Avriel Epps-Darling, Romain Takeo Bouyer, Henriette Cramer
June 2020 | ICWSM
Local Trends in Global Music Streaming
Samuel F. Way, Jean Garcia Gathright, Henriette Cramer
April 2019 | CHI extended abstracts
Translation, Tracks & Data: an Algorithmic Bias Effort in Practice
Henriette Cramer, Jean Garcia-Gathright, Sravana Reddy, Avriel Epps, Aaron Springer, Romain Takeo Bouyer
October 2018 | CIKM
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, Fernando Diaz
March 2017 | AAAI Spring Symposium Workshop on Designing the UX of ML
Not so Autonomous, Very Human Decisions in Machine Learning. AAAI Spring Symposium on UX for ML: Designing the User Experience of Machine Learning Systems.
Henriette Cramer, Jennifer Thom