Rishabh Mehrotra
Rishabh Mehrotra
Head of AI, Sourcegraph
Verified email at - Homepage
Cited by
Cited by
Improving LDA Topic Models for Microblogs via Tweet Pooling and Automatic Labeling
R Mehrotra, S Sanner, W Buntine, L Xie
Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013
Towards a fair marketplace: Counterfactual evaluation of the trade-off between relevance, fairness & satisfaction in recommendation systems
R Mehrotra, J McInerney, H Bouchard, M Lalmas, F Diaz
Proceedings of the 27th acm international conference on information and …, 2018
Explore, exploit, and explain: personalizing explainable recommendations with bandits
J McInerney, B Lacker, S Hansen, K Higley, H Bouchard, A Gruson, ...
Proceedings of the 12th ACM conference on recommender systems, 31-39, 2018
Algorithmic effects on the diversity of consumption on spotify
A Anderson, L Maystre, I Anderson, R Mehrotra, M Lalmas
Proceedings of the web conference 2020, 2155-2165, 2020
Contextual and sequential user embeddings for large-scale music recommendation
C Hansen, C Hansen, L Maystre, R Mehrotra, B Brost, F Tomasi, ...
Proceedings of the 14th ACM Conference on Recommender Systems, 53-62, 2020
Auditing Search Engines for Differential Satisfaction Across Demographics
R Mehrotra, A Anderson, F Diaz, A Sharma, H Wallach, E Yilmaz
Proceedings of the 26th International Conference on World Wide Web, 626-633, 2017
The music streaming sessions dataset
B Brost, R Mehrotra, T Jehan
The World Wide Web Conference, 2594-2600, 2019
Bandit based optimization of multiple objectives on a music streaming platform
R Mehrotra, N Xue, M Lalmas
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Counterfactual evaluation of slate recommendations with sequential reward interactions
J McInerney, B Brost, P Chandar, R Mehrotra, B Carterette
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Jointly leveraging intent and interaction signals to predict user satisfaction with slate recommendations
R Mehrotra, M Lalmas, D Kenney, T Lim-Meng, G Hashemian
The World Wide Web Conference, 1256-1267, 2019
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach
R Mehrotra, E Yilmaz
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
Shifting consumption towards diverse content on music streaming platforms
C Hansen, R Mehrotra, C Hansen, B Brost, L Maystre, M Lalmas
Proceedings of the 14th ACM international conference on web search and data …, 2021
Deep sequential models for task satisfaction prediction
R Mehrotra, AH Awadallah, M Shokouhi, E Yilmaz, I Zitouni, A El Kholy, ...
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Overview of the TREC 2015 Tasks Track.
E Yilmaz, M Verma, R Mehrotra, E Kanoulas, B Carterette, N Craswell
TREC, 2015
Terms, topics & tasks: Enhanced user modelling for better personalization
R Mehrotra, E Yilmaz
Proceedings of the 2015 international conference on the theory of …, 2015
User interaction sequences for search satisfaction prediction
R Mehrotra, I Zitouni, A Hassan Awadallah, AE Kholy, M Khabsa
Proceedings of the 40th International ACM SIGIR conference on research and …, 2017
Representative & Informative Query Selection for Learning to Rank using Submodular Functions
R Mehrotra, E Yilmaz
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
The multisided complexity of fairness in recommender systems
N Sonboli, R Burke, M Ekstrand, R Mehrotra
AI magazine 43 (2), 164-176, 2022
Personalizing explainable recommendations with bandits
JE McInerney, B Lacker, S Hansen, A Gruson, R Mehrotra, H Bouchard
US Patent 11,301,513, 2022
Hey Cortana! Exploring the use cases of a Desktop based Digital Assistant
R Mehrotra, AH Awadallah, AE Kholy, I Zitouni
SIGIR 1st international workshop on conversational approaches to information …, 2017
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