Rishabh Mehrotra

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 68

Top Venues

CoRR

RecSys

CIKM

WWW (Companion Volume)

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
Ad-load Balancing via Off-policy Learning in a Content Marketplace. WSDM (2024)
Srijan Saket, Sai Baba Reddy Velugoti, Rishabh Mehrotra
Formulating Video Watch Success Signals for Recommendations on Short Video Platforms. LERI@RecSys (2023)
Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
Ad-load Balancing via Off-policy Learning in a Content Marketplace. CoRR (2023)
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. CoRR (2023)
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE (2023)
Dmitrii Moor, Yi Yuan, Rishabh Mehrotra, Zhenwen Dai, Mounia Lalmas
Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. CIKM (2023)
Mohit Agarwal, Srijan Saket, Rishabh Mehrotra
MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations. WWW (Companion Volume) (2023)
Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. SIGIR (2023)
Sebastin Santy, Prasanta Bhattacharya, Rishabh Mehrotra
Task Preferences across Languages on Community Question Answering Platforms. CoRR (2022)
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. WWW (2022)
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR (2022)
Nasim Sonboli, Robin Burke, Michael D. Ekstrand, Rishabh Mehrotra
The Multisided Complexity of Fairness in Recommender Systems. AI Mag. 43 (2) (2022)
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. CoRR (2022)
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. NeurIPS (2022)
Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas
Multi-Task Learning of Graph-based Inductive Representations of Music Content. ISMIR (2021)
Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas
Shifting Consumption towards Diverse Content on Music Streaming Platforms. WSDM (2021)
Rishabh Mehrotra
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. CIKM (2021)
Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas
Algorithmic Effects on the Diversity of Consumption on Spotify. WWW (2020)
Rishabh Mehrotra, Ashish Gupta
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization. KDD (2020)
Ashish Gupta, Rishabh Mehrotra
Joint Attention Neural Model for Demand Prediction in Online Marketplaces. NLDL (2020)
Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas
Query Understanding for Surfacing Under-served Music Content. CIKM (2020)
James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD (2020)
Kevin Roitero, Ben Carterette, Rishabh Mehrotra, Mounia Lalmas
Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. WWW (Companion Volume) (2020)
James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. CoRR (2020)
Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz
Special issue on learning from user interactions. Inf. Retr. J. 23 (6) (2020)
Rishabh Mehrotra, Niannan Xue, Mounia Lalmas
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform. KDD (2020)
Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys (2020)
Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). SIGIR Forum 54 (1) (2020)
Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette
Investigating Listeners' Responses to Divergent Recommendations. RecSys (2020)
Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD (2020)
Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
SUM'20: State-based User Modelling. WSDM (2020)
Aaron Ng, Rishabh Mehrotra
Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions. RecSys (2020)
Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas
Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. RecSys (2020)
Rishabh Mehrotra, Benjamin A. Carterette
Recommendations in a marketplace. RecSys (2019)
Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian
Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations. WWW (2019)
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
Towards Task Understanding in Visual Settings. AAAI (2019)
Brian Brost, Rishabh Mehrotra, Tristan Jehan
The Music Streaming Sessions Dataset. CoRR (2019)
Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas
Deriving User- and Content-specific Rewards for Contextual Bandits. WWW (2019)
Brian Brost, Rishabh Mehrotra, Tristan Jehan
The Music Streaming Sessions Dataset. WWW (2019)
Rishabh Mehrotra
Inferring User Needs & Tasks from User Interactions. SIGIR Forum 52 (2) (2018)
James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra
Explore, exploit, and explain: personalizing explainable recommendations with bandits. RecSys (2018)
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
Towards Task Understanding in Visual Settings. CoRR (2018)
Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. CIKM (2018)
Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz
LearnIR: WSDM 2018 Workshop on Learning from User Interactions. WSDM (2018)
Rishabh Mehrotra, Prasanta Bhattacharya
Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model. ICTIR (2017)
Rishabh Mehrotra, Prasanta Bhattacharya, Tianhui Tan, Tuan Phan
Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context. ICIS (2017)
Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa
User Interaction Sequences for Search Satisfaction Prediction. SIGIR (2017)
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) (2017)
Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
Deep Sequential Models for Task Satisfaction Prediction. CIKM (2017)
Rishabh Mehrotra, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Hassan
Identifying User Sessions in Interactions with Intelligent Digital Assistants. WWW (Companion Volume) (2017)
Evangelos Kanoulas, Emine Yilmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey
TREC 2017 Tasks Track Overview. TREC (2017)
Rishabh Mehrotra, Prasanta Bhattacharya
Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms. CoRR (2017)
Rishabh Mehrotra, Emine Yilmaz
Task Embeddings: Learning Query Embeddings using Task Context. CIKM (2017)
Rishabh Mehrotra, Emine Yilmaz
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. CoRR (2017)
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR (2017)
Rishabh Mehrotra, Emine Yilmaz
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. SIGIR (2017)
Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. HLT-NAACL (2016)
Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior. SIGIR (2016)
Rishabh Mehrotra, Emine Yilmaz
Query Log Mining for Inferring User Tasks and Needs. ECML/PKDD (3) (2016)
Prasanta Bhattacharya, Rishabh Mehrotra
The Information Network: Exploiting Causal Dependencies in Online Information Seeking. CHIIR (2016)
Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey
Overview of the TREC Tasks Track 2016. TREC (2016)
Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
Characterizing Users' Multi-Tasking Behavior in Web Search. CHIIR (2016)
Rishabh Mehrotra, Emine Yilmaz
Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization. ICTIR (2015)
Rishabh Mehrotra
Topics, Tasks & Beyond: Learning Representations for Personalization. WSDM (2015)
Rishabh Mehrotra, Emine Yilmaz
Representative & Informative Query Selection for Learning to Rank using Submodular Functions. SIGIR (2015)
Rishabh Mehrotra, Prasanta Bhattacharya
Modeling the Evolution of User-generated Content on a Large Video Sharing Platform. WWW (Companion Volume) (2015)
Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell
Overview of the TREC 2015 Tasks Track. TREC (2015)
Rishabh Mehrotra, Emine Yilmaz
Towards Hierarchies of Search Tasks & Subtasks. WWW (Companion Volume) (2015)
Rishabh Mehrotra, Emine Yilmaz, Manisha Verma
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters (2014)
Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie
Improving LDA topic models for microblogs via tweet pooling and automatic labeling. SIGIR (2013)
Rishabh Mehrotra, Rushabh Agrawal, Syed Aqueel Haider
Dictionary based sparse representation for domain adaptation. CIKM (2012)
Syed Aqueel Haider, Rishabh Mehrotra
Corporate News Classification and Valence Prediction: A Supervised Approach. WASSA@ACL (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rishabh Mehrotra