Rishabh Mehrotra

CoRR, 2022

The Multisided Complexity of Fairness in Recommender Systems.

[BibT_eX]

[DOI]

AI Mag., 2022

Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders.

[BibT_eX]

[DOI]

Olivier Jeunen

Ciarán M. Gilligan-Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Shifting Consumption towards Diverse Content on Music Streaming Platforms.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Multi-Task Learning of Graph-based Inductive Representations of Music Content.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Report on the WSDM 2020 workshop on state-based user modelling (SUM'20).

[BibT_eX]

[DOI]

SIGIR Forum, 2020

Special issue on learning from user interactions.

[BibT_eX]

[DOI]

Inf. Retr. J., 2020

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Algorithmic Effects on the Diversity of Consumption on Spotify.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SUM'20: State-based User Modelling.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions.

[BibT_eX]

[DOI]

Aaron Ng

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Investigating Listeners' Responses to Divergent Recommendations.

[BibT_eX]

[DOI]

Chirag Shah

Benjamin A. Carterette

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Joint Attention Neural Model for Demand Prediction in Online Marketplaces.

[BibT_eX]

[DOI]

Ashish Gupta

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

Bandit based Optimization of Multiple Objectives on a Music Streaming Platform.

[BibT_eX]

[DOI]

Niannan Xue

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization.

[BibT_eX]

[DOI]

Ashish Gupta

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.

[BibT_eX]

[DOI]

Benjamin A. Carterette

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Query Understanding for Surfacing Under-served Music Content.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Deriving User- and Content-specific Rewards for Contextual Bandits.

[BibT_eX]

[DOI]

Paolo Dragone

Proceedings of the World Wide Web Conference, 2019

The Music Streaming Sessions Dataset.

[BibT_eX]

[DOI]

Brian Brost

Tristan Jehan

Proceedings of the World Wide Web Conference, 2019

Recommendations in a marketplace.

[BibT_eX]

[DOI]

Benjamin A. Carterette

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Towards Task Understanding in Visual Settings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Inferring user needs and tasks from user interactions.

[BibT_eX]

[DOI]

PhD thesis, 2018

Inferring User Needs & Tasks from User Interactions.

[BibT_eX]

[DOI]

SIGIR Forum, 2018

LearnIR: WSDM 2018 Workshop on Learning from User Interactions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Explore, exploit, and explain: personalizing explainable recommendations with bandits.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms.

[BibT_eX]

[DOI]

CoRR, 2017

Identifying User Sessions in Interactions with Intelligent Digital Assistants.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Auditing Search Engines for Differential Satisfaction Across Demographics.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

TREC 2017 Tasks Track Overview.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

User Interaction Sequences for Search Satisfaction Prediction.

[BibT_eX]

[DOI]

Imed Zitouni

Ahmed El Kholy

Madian Khabsa

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context.

[BibT_eX]

[DOI]

Tianhui Tan

Tuan Phan

Proceedings of the International Conference on Information Systems, 2017

Task Embeddings: Learning Query Embeddings using Task Context.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Deep Sequential Models for Task Satisfaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Overview of the TREC Tasks Track 2016.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior.

[BibT_eX]

[DOI]

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Query Log Mining for Inferring User Tasks and Needs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Characterizing Users' Multi-Tasking Behavior in Web Search.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

The Information Network: Exploiting Causal Dependencies in Online Information Seeking.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

2015

Towards Hierarchies of Search Tasks & Subtasks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Modeling the Evolution of User-generated Content on a Large Video Sharing Platform.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Topics, Tasks & Beyond: Learning Representations for Personalization.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Overview of the TREC 2015 Tasks Track.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Representative & Informative Query Selection for Learning to Rank using Submodular Functions.

[BibT_eX]

[DOI]

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014

Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization.

[BibT_eX]

[DOI]

Manisha Verma

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

2013

Improving LDA topic models for microblogs via tweet pooling and automatic labeling.

[BibT_eX]

[DOI]

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

2012

Dictionary based sparse representation for domain adaptation.

[BibT_eX]

[DOI]

Rushabh Agrawal

Syed Aqueel Haider

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Corporate News Classification and Valence Prediction: A Supervised Approach.

[BibT_eX]

[DOI]

Syed Aqueel Haider