Rishabh Mehrotra

78 papers A* 17A 20B 2C 1Misc 2Journal 18Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Improving FIM Code Completions via Context & Curriculum Based Learning. WSDM Hitesh Sagtani, Rishabh Mehrotra, Beyang Liu
2024	A	`conf`	AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. RecSys Jan Hartman, Hitesh Sagtani, Julie Tibshirani, Rishabh Mehrotra
2024	J	`jnl`	AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. CoRR Jan Hartman, Rishabh Mehrotra, Hitesh Sagtani, Dominic Cooney, Rafal Gajdulewicz, Beyang Liu, Julie Tibshirani, Quinn Slack
2024	A	`conf`	Ad-load Balancing via Off-policy Learning in a Content Marketplace. WSDM Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
2024	J	`jnl`	Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation. CoRR Srijan Saket, Mohit Agarwal, Rishabh Mehrotra
2024	J	`jnl`	Improving FIM Code Completions via Context & Curriculum Based Learning. CoRR Hitesh Sagtani, Rishabh Mehrotra, Beyang Liu
2023	J	`jnl`	Ad-load Balancing via Off-policy Learning in a Content Marketplace. CoRR Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
2023	A	`conf`	Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. CIKM Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas
2023	—	`conf`	Formulating Video Watch Success Signals for Recommendations on Short Video Platforms. LERI@RecSys Srijan Saket, Sai Baba Reddy Velugoti, Rishabh Mehrotra
2023	—	`conf`	MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations. WWW (Companion Volume) Mohit Agarwal, Srijan Saket, Rishabh Mehrotra
2023	—	`conf`	On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi
2023	J	`jnl`	On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. CoRR Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra
2023	A*	`conf`	Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. SIGIR Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra
2022	A*	`conf`	Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. NeurIPS Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
2022	J	`jnl`	Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
2022	A*	`conf`	Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. WWW Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
2022	J	`jnl`	Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. CoRR Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
2022	J	`jnl`	Task Preferences across Languages on Community Question Answering Platforms. CoRR Sebastin Santy, Prasanta Bhattacharya, Rishabh Mehrotra
2022	J	`jnl`	The Multisided Complexity of Fairness in Recommender Systems. AI Mag. Nasim Sonboli, Robin Burke, Michael D. Ekstrand, Rishabh Mehrotra
2021	A	`conf`	Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. CIKM Rishabh Mehrotra
2021	—	`conf`	Multi-Task Learning of Graph-based Inductive Representations of Music Content. ISMIR Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas
2021	A	`conf`	Shifting Consumption towards Diverse Content on Music Streaming Platforms. WSDM Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas
2020	A*	`conf`	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	A*	`conf`	Algorithmic Effects on the Diversity of Consumption on Spotify. WWW Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas
2020	A*	`conf`	Bandit based Optimization of Multiple Objectives on a Music Streaming Platform. KDD Rishabh Mehrotra, Niannan Xue, Mounia Lalmas
2020	A	`conf`	Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas
2020	A*	`conf`	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
2020	J	`jnl`	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. CoRR James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette
2020	A	`conf`	Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. RecSys Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas
2020	A	`conf`	Investigating Listeners' Responses to Divergent Recommendations. RecSys Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette
2020	A	`conf`	Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions. RecSys Aaron Ng, Rishabh Mehrotra
2020	—	`conf`	Joint Attention Neural Model for Demand Prediction in Online Marketplaces. NLDL Ashish Gupta, Rishabh Mehrotra
2020	A*	`conf`	Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization. KDD Rishabh Mehrotra, Ashish Gupta
2020	—	`conf`	Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. WWW (Companion Volume) Kevin Roitero, Ben Carterette, Rishabh Mehrotra, Mounia Lalmas
2020	A	`conf`	Query Understanding for Surfacing Under-served Music Content. CIKM Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas
2020	J	`jnl`	Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). SIGIR Forum Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
2020	A	`conf`	SUM'20: State-based User Modelling. WSDM Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
2020	J	`jnl`	Special issue on learning from user interactions. Inf. Retr. J. Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz
2019	A*	`conf`	Deriving User- and Content-specific Rewards for Contextual Bandits. WWW Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas
2019	A*	`conf`	Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations. WWW Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian
2019	A	`conf`	Recommendations in a marketplace. RecSys Rishabh Mehrotra, Benjamin A. Carterette
2019	A*	`conf`	The Music Streaming Sessions Dataset. WWW Brian Brost, Rishabh Mehrotra, Tristan Jehan
2019	J	`jnl`	The Music Streaming Sessions Dataset. CoRR Brian Brost, Rishabh Mehrotra, Tristan Jehan
2019	A*	`conf`	Towards Task Understanding in Visual Settings. AAAI Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
2018	A	`conf`	Explore, exploit, and explain: personalizing explainable recommendations with bandits. RecSys James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra
2018	J	`jnl`	Inferring User Needs & Tasks from User Interactions. SIGIR Forum Rishabh Mehrotra
2018	—	`—`	Inferring user needs and tasks from user interactions. Rishabh Mehrotra
2018	A	`conf`	LearnIR: WSDM 2018 Workshop on Learning from User Interactions. WSDM Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz
2018	J	`jnl`	Towards Task Understanding in Visual Settings. CoRR Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
2018	A	`conf`	Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. CIKM Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz
2017	—	`conf`	Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
2017	J	`jnl`	Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
2017	J	`jnl`	Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms. CoRR Rishabh Mehrotra, Prasanta Bhattacharya
2017	Misc	`conf`	Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model. ICTIR Rishabh Mehrotra, Prasanta Bhattacharya
2017	A	`conf`	Deep Sequential Models for Task Satisfaction Prediction. CIKM Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
2017	A*	`conf`	Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. SIGIR Rishabh Mehrotra, Emine Yilmaz
2017	J	`jnl`	Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. CoRR Rishabh Mehrotra, Emine Yilmaz
2017	—	`conf`	Identifying User Sessions in Interactions with Intelligent Digital Assistants. WWW (Companion Volume) Rishabh Mehrotra, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Hassan
2017	C	`conf`	Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context. ICIS Rishabh Mehrotra, Prasanta Bhattacharya, Tianhui Tan, Tuan Phan
2017	—	`conf`	TREC 2017 Tasks Track Overview. TREC Evangelos Kanoulas, Emine Yilmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey
2017	A	`conf`	Task Embeddings: Learning Query Embeddings using Task Context. CIKM Rishabh Mehrotra, Emine Yilmaz
2017	A*	`conf`	User Interaction Sequences for Search Satisfaction Prediction. SIGIR Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa
2016	B	`conf`	Characterizing Users' Multi-Tasking Behavior in Web Search. CHIIR Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
2016	—	`conf`	Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. HLT-NAACL Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
2016	—	`conf`	Overview of the TREC Tasks Track 2016. TREC Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey
2016	—	`conf`	Query Log Mining for Inferring User Tasks and Needs. ECML/PKDD (3) Rishabh Mehrotra, Emine Yilmaz
2016	B	`conf`	The Information Network: Exploiting Causal Dependencies in Online Information Seeking. CHIIR Prasanta Bhattacharya, Rishabh Mehrotra
2016	A*	`conf`	Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior. SIGIR Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
2015	—	`conf`	Modeling the Evolution of User-generated Content on a Large Video Sharing Platform. WWW (Companion Volume) Rishabh Mehrotra, Prasanta Bhattacharya
2015	—	`conf`	Overview of the TREC 2015 Tasks Track. TREC Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell
2015	A*	`conf`	Representative & Informative Query Selection for Learning to Rank using Submodular Functions. SIGIR Rishabh Mehrotra, Emine Yilmaz
2015	Misc	`conf`	Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization. ICTIR Rishabh Mehrotra, Emine Yilmaz
2015	A	`conf`	Topics, Tasks & Beyond: Learning Representations for Personalization. WSDM Rishabh Mehrotra
2015	—	`conf`	Towards Hierarchies of Search Tasks & Subtasks. WWW (Companion Volume) Rishabh Mehrotra, Emine Yilmaz
2014	—	`conf`	Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters Rishabh Mehrotra, Emine Yilmaz, Manisha Verma
2013	A*	`conf`	Improving LDA topic models for microblogs via tweet pooling and automatic labeling. SIGIR Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie
2012	A	`conf`	Dictionary based sparse representation for domain adaptation. CIKM Rishabh Mehrotra, Rushabh Agrawal, Syed Aqueel Haider
2011	—	`conf`	Corporate News Classification and Valence Prediction: A Supervised Approach. WASSA@ACL Syed Aqueel Haider, Rishabh Mehrotra