| 2025 | WSDM | Improving FIM Code Completions via Context & Curriculum Based Learning. | Hitesh Sagtani, Rishabh Mehrotra, Beyang Liu |
| 2024 | RecSys | AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. | Jan Hartman, Hitesh Sagtani, Julie Tibshirani, Rishabh Mehrotra |
| 2024 | WSDM | Ad-load Balancing via Off-policy Learning in a Content Marketplace. | Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen |
| 2023 | CIKM | Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. | Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas |
| 2023 | WWW | MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations. | Mohit Agarwal, Srijan Saket, Rishabh Mehrotra |
| 2023 | SIGIR | Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. | Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra |
| 2022 | 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 |
| 2021 | CIKM | Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. | Rishabh Mehrotra |
| 2021 | WSDM | Shifting Consumption towards Diverse Content on Music Streaming Platforms. | Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas |
| 2020 | CIKM | Query Understanding for Surfacing Under-served Music Content. | Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Btepage, Brian Brost, Hugo Galvo, Mounia Lalmas |
| 2020 | KDD | Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. | James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette |
| 2020 | KDD | Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. | Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon |
| 2020 | KDD | Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization. | Rishabh Mehrotra, Ashish Gupta |
| 2020 | KDD | Bandit based Optimization of Multiple Objectives on a Music Streaming Platform. | Rishabh Mehrotra, Niannan Xue, Mounia Lalmas |
| 2020 | RecSys | Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. | Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas |
| 2020 | RecSys | Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. | Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas |
| 2020 | RecSys | Investigating Listeners' Responses to Divergent Recommendations. | Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette |
| 2020 | RecSys | Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions. | Aaron Ng, Rishabh Mehrotra |
| 2020 | WWW | Algorithmic Effects on the Diversity of Consumption on Spotify. | Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas |
| 2020 | WWW | Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. | Kevin Roitero, Ben Carterette, Rishabh Mehrotra, Mounia Lalmas |
| 2020 | WSDM | SUM'20: State-based User Modelling. | Sahan Bulathwela, Mara Prez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz |
| 2019 | AAAI | Towards Task Understanding in Visual Settings. | Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz |
| 2019 | RecSys | Recommendations in a marketplace. | Rishabh Mehrotra, Benjamin A. Carterette |
| 2019 | WWW | The Music Streaming Sessions Dataset. | Brian Brost, Rishabh Mehrotra, Tristan Jehan |
| 2019 | WWW | Deriving User- and Content-specific Rewards for Contextual Bandits. | Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas |
| 2019 | WWW | Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations. | Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian |
| 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 |
| 2018 | RecSys | Explore, exploit, and explain: personalizing explainable recommendations with bandits. | James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra |
| 2018 | WSDM | LearnIR: WSDM 2018 Workshop on Learning from User Interactions. | Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz |
| 2017 | CIKM | Deep Sequential Models for Task Satisfaction Prediction. | Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa |
| 2017 | CIKM | Task Embeddings: Learning Query Embeddings using Task Context. | Rishabh Mehrotra, Emine Yilmaz |
| 2017 | ICIS | Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context. | Rishabh Mehrotra, Prasanta Bhattacharya, Tianhui Tan, Tuan Phan |
| 2017 | ICTIR | Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model. | Rishabh Mehrotra, Prasanta Bhattacharya |
| 2017 | WWW | Auditing Search Engines for Differential Satisfaction Across Demographics. | Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz |
| 2017 | WWW | Identifying User Sessions in Interactions with Intelligent Digital Assistants. | Rishabh Mehrotra, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Hassan |
| 2017 | SIGIR | Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. | Rishabh Mehrotra, Emine Yilmaz |
| 2017 | SIGIR | User Interaction Sequences for Search Satisfaction Prediction. | Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa |
| 2016 | CHIIR | The Information Network: Exploiting Causal Dependencies in Online Information Seeking. | Prasanta Bhattacharya, Rishabh Mehrotra |
| 2016 | CHIIR | Characterizing Users' Multi-Tasking Behavior in Web Search. | Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz |
| 2016 | NAACL | Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. | Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz |
| 2016 | SIGIR | Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior. | Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz |
| 2015 | ICTIR | Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization. | Rishabh Mehrotra, Emine Yilmaz |
| 2015 | WWW | Modeling the Evolution of User-generated Content on a Large Video Sharing Platform. | Rishabh Mehrotra, Prasanta Bhattacharya |
| 2015 | WWW | Towards Hierarchies of Search Tasks & Subtasks. | Rishabh Mehrotra, Emine Yilmaz |
| 2015 | SIGIR | Representative & Informative Query Selection for Learning to Rank using Submodular Functions. | Rishabh Mehrotra, Emine Yilmaz |
| 2015 | WSDM | Topics, Tasks & Beyond: Learning Representations for Personalization. | Rishabh Mehrotra |
| 2014 | RecSys | Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. | Rishabh Mehrotra, Emine Yilmaz, Manisha Verma |
| 2013 | SIGIR | Improving LDA topic models for microblogs via tweet pooling and automatic labeling. | Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie |
| 2012 | CIKM | Dictionary based sparse representation for domain adaptation. | Rishabh Mehrotra, Rushabh Agrawal, Syed Aqueel Haider |