Publications
You can also find my articles on my DBLP and Google Scholar profile.
Tutorials & Summer School Courses
KDD 2020 tutorial: Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys (website)
Presenters: Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, James Tin-Yau Kwok, Isabelle Guyon, Qiang Yang
RecSys 2019 tutorial: Recommendations in a Marketplace (website)
Presenters: Rishabh Mehrotra, Ben Carterette (Spotify)
WWW 2018 tutorial: Understanding & Inferring User Tasks and Needs
Presenters: Rishabh Mehrotra, Ahmed Hassan Awadallah (Microsoft Research), Emine Yilmaz (UCL)
Website: https://www2018.thewebconf.org/program/tutorials-track/tutorial-222/
CIKM 2017 tutorial: Task based Search: Understanding & Inferring User Tasks and Needs
Presenters: Emine Yilmaz (UCL), Ahmed Hassan Awadallah (Microsoft Research), Rishabh Mehrotra
Website: https://task-ir.github.io/Task-based-Search/
RuSSIR Summer School course: Learning from User Interactions
Presenter: Rishabh Mehrotra
Website: http://rishabhmehrotra.com/russir18.html
2023
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems [pdf]
Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta and Rishabh Mehrotra
SIGIR 2023
MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations [pdf]
Mohit Agarwal, Srijan Saket, Rishabh Mehrotra
TheWebConf 2023 (Companion)
2022
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders [pdf, code]
Olivier Jeunen, Ciaran M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
NeurIPS 2022
The multisided complexity of fairness in recommender systems
[pdf]
Nasim Sonboli, Robin Burke, Michael Ekstrand, Rishabh Mehrotra
AI magazine (June 2022)
Task Preferences across Languages on Community Question Answering (CQA) Platforms
[pdf]
Sebastin Santy, Prasanta Bhattacharya, Rishabh Mehrotra
arXiv
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing
[pdf]
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
TheWebConf 2022
2021
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders [pdf]
Olivier Jeunen, Ciarán M Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
NeurIPS Why: Causal Inference workshop 2021
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations [pdf]
Rishabh Mehrotra
CIKM 2021
Multi-objective Recommendations via Submodular Objective Diversification & Counterfactual Sequencing
Rishabh Mehrotra
ICML SubSetML Workshop 2021
Multi-Task Learning of Graph-based Inductive Representations of Music Content [pdf]
Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas
ISMIR 2021
Shifting Consumption towards Diverse Content on Music
Streaming Platforms [pdf]
Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas
WSDM 2021
2020
Special issue on Learning from User Interactions
[pdf]
Mehrotra, Rishabh, Ahmed Hassan Awadallah, Emine Yilmaz
IRJ 2020
Query Understanding for Surfacing Under-served Music Content
[pdf]
Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Butepage, Brian Brost, Hugo Galvao, Mounia Lalmas
CIKM 2020
Contextual and Sequential User Embeddings for Large-Scale Music Recommendatio
[pdf]
Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas
RecSys 2020
Investigating Listeners’ Responses to Divergent Recommendations
[pdf]
Rishabh Mehrotra, Chirag Shah, Benjamin Carterette
RecSys 2020 (LBR)
Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions
[pdf]
Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas
RecSys 2020 (LBR)
Investigating the Impact of Audio States in Music Streaming Sessions [pdf]
Aaron Ng, Rishabh Mehrotra
RecSys 2020 (LBR)
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform [pdf]
Rishabh Mehrotra*, Niannan Xue*, Mounia Lalmas (*equal contribution)
KDD 2020
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization [pdf]
Rishabh Mehrotra, Ashish Gupta
KDD 2020
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions [pdf]
James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette
KDD 2020
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys [pdf] [website]
Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, James Tin-Yau Kwok, Isabelle Guyon, Qiang Yang
KDD 2020 Tutorials
Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems [pdf]
Kevin Roitero, Ben Carterrete, Rishabh Mehrotra, Mounia Lalmas
WWW 2020
Algorithmic Effects on the Diversity of Consumption on Spotify [pdf] [slides]
Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas
WWW 2020
Joint Attention Neural Model for Demand Prediction in Online Marketplaces [pdf]
A Gupta, R Mehrotra
NLDL 2020
2019
Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations [pdf]
Rishabh Mehrotra, Mounia Lalmas, Doug Kenney, Thomas Lim-Meng, Golli Hashemian
WWW 2019
Deriving User- and Content-specific Rewards for Contextual Bandits [pdf]
Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas
WWW 2019
The Music Streaming Sessions Dataset
Brian Brost, Rishabh Mehrotra, Tristan Jehan
WWW 2019
Towards Task Understanding in Visual Settings [pdf]
Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz
AAAI 2019 (student abstact)
2018
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems [pdf]
Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas and Fernando Diaz
CIKM 2018
Neural Attention Reader for Video Comprehension [pdf]
Ashish Gupta, Rishabh Mehrotra and Manish Gupta
KDD 2018, Deep Learning Day
Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits [pdf]
James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra
RecSys 2018
LearnIR: WSDM 2018 Workshop on Learning from User Interactions [pdf]
Rishabh Mehrotra, Ahmed Hassan Awadallah and Emine Yilmaz
WSDM 2018
Inferring User Needs & Tasks from User Interactions [pdf]
Rishabh Mehrotra
ACM SIGIR Forums 2018
2017
Task Embeddings: Learning Query Embeddings using Task Context [pdf]
Rishabh Mehrotra, Emine Yilmaz
CIKM 2017
Deep Sequential Models for Task Satisfaction Prediction [pdf]
Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy and Madian Khabsa
CIKM 2017
Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context
Rishabh Mehrotra, Prasanta Bhattacharya, Tianhui Tan and Tuan Phan
ICIS 2017
Hey Cortana! Exploring the use cases of a Desktop based Digital Assistant [pdf]
Rishabh Mehrotra, Ahmed Hassan Awadallah, Ahmed El Kholy and Imed Zitouni
CAIR 2017
Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms [pdf]
Rishabh Mehrotra and Prasanta Bhattacharya
ICTIR 2017
Extracting & Leveraging User Interaction Sequences for Search Satisfaction Prediction [pdf]
Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah and Ahmed El Kholy
SIGIR 2017
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach [pdf]
Rishabh Mehrotra and Emine Yilmaz
SIGIR 2017
Auditing Search Engines for Differential Performance Across Demographics [pdf]
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach and Emine Yilmaz
WWW 2017
Identifying User Sessions in Interactions with Intelligent Assistants [pdf]
Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Milad Shokouhi and Ahmed El Kholy
WWW 2017 (Posters Track)
2016
Query Log Mining for Inferring User Tasks and Needs
Rishabh Mehrotra and Emine Yilmaz
ECML 2016 (Nectar Track)
Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior
Rishabh Mehrotra, Prasanta Bhattacharya and Emine Yilmaz
SIGIR 2016
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
HIA @ SIGIR 2016
Deconstructing Complex Search Tasks
Rishabh Mehrotra, Prasanta Bhattacharya and Emine Yilmaz
NAACL 2016
Characterizing Users' Multi-Tasking Behavior in Web Search
Rishabh Mehrotra, Prasanta Bhattacharya and Emine Yilmaz
CHIIR 2016
The Information Network: Exploiting Causal Dependencies in Online Information Seeking
Prasanta Bhattacharya, Rishabh Mehrotra
CHIIR 2016
2015
Representative & Informative Query Selection for Learning to Rank using Submodular Functionsd Needs
Rishabh Mehrotra and Emine Yilmaz
SIGIR 2015
Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization
Rishabh Mehrotra and Emine Yilmaz
ICTIR 2015
Modeling the Evolution of User-generated Content on a Large Video Sharing Platform
Rishabh Mehrotra, Prasanta Bhattacharya
WWW 2015 (Web Science Track)
Towards Hierarchies of Search Tasks & Subtasks
Rishabh Mehrotra and Emine Yilmaz
WWW 2015 (Posters track)
Overview of the TREC 2015 Tasks Track
Emine Yilmaz, Evangelos Kanoulas, Manisha Verma, Nick Craswell, Rishabh Mehrotra
TREC 2015
Topics, Tasks & Beyond: Learning Representations for Personalization
Rishabh Mehrotra
WSDM 2015 (Doctoral Consortium)
A Tensor Based Approach for Coupling Search Tasks and Topical Interests for User Modelling
Rishabh Mehrotra, Emine Yilmaz
HIA @ WSDM 2015
2014 & before
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization
Rishabh Mehrotra and Emine Yilmaz
RecSys 2014
Improving LDA Topic Models for Microblogs via Automatic Tweet Labeling and Pooling.
Rishabh Mehrotra, Scott Sanner, Wray Buntine, Lexing Xie
SIGIR 2013
Towards Learning Coupled Representations for Cross-Lingual Information Retrieval
Rishabh Mehrotra, Dat Chu, Syed Aqueel Haider, Iaonnis Kakadiaris
xLiTe @ NIPS 2012
Dictionary based Sparse Representation for Domain Adaptation
Rishabh Mehrotra, Rushabh Agrawal, Syed Aqueel Haider
CIKM 2012
Corporate News Classification and Valence Prediction: A Supervised Approach
Syed Aqueel Haider, Rishabh Mehrotra
WASSA @ ACL 2011
Neural Self-Organization based Rectilinear Steiner Minimal Tree Generation in 3 Dimensions
Rushabh Agrawal, Rishabh Mehrotra, AS Mandal
ICMS 2012