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Rishabh Mehrotra
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2020 – today
- 2024
- [c58]Jan Hartman
, Hitesh Sagtani
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. RecSys 2024: 748-750 - [c57]Hitesh Sagtani
Ad-load Balancing via Off-policy Learning in a Content Marketplace. WSDM 2024: 586-595 - [i12]Jan Hartman, Rishabh Mehrotra, Hitesh Sagtani, Dominic Cooney, Rafal Gajdulewicz, Beyang Liu, Julie Tibshirani, Quinn Slack:
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations. CoRR abs/2408.05344 (2024) - 2023
- [c56]Dmitrii Moor
Exploiting Sequential Music Preferences via Optimisation-Based Sequencing. CIKM 2023: 4759-4765 - [c55]Olivier Jeunen
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE 2023: 136-141 - [c54]Srijan Saket, Sai Baba Reddy Velugoti, Rishabh Mehrotra:
Formulating Video Watch Success Signals for Recommendations on Short Video Platforms. LERI@RecSys 2023: 41-48 - [c53]Hitesh Sagtani
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. SIGIR 2023: 2293-2297 - [c52]Mohit Agarwal
MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations. WWW (Companion Volume) 2023: 773-777 - [i11]Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen:
Ad-load Balancing via Off-policy Learning in a Content Marketplace. CoRR abs/2309.11518 (2023) - [i10]Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. 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 abs/2312.01760 (2023) - 2022
- [j4]Nasim Sonboli
The Multisided Complexity of Fairness in Recommender Systems. AI Mag. 43(2): 164-176 (2022) - [c51]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 - [c50]Emanuele Bugliarello
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. WWW 2022: 2936-2945 - [i9]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 abs/2204.10463 (2022) - [i8]Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas:
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR abs/2210.05446 (2022) - [i7]Sebastin Santy, Prasanta Bhattacharya, Rishabh Mehrotra:
Task Preferences across Languages on Community Question Answering Platforms. CoRR abs/2212.09045 (2022) - 2021
- [c49]Rishabh Mehrotra:
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. CIKM 2021: 3996-4005 - [c48]Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra, Mounia Lalmas:
Multi-Task Learning of Graph-based Inductive Representations of Music Content. ISMIR 2021: 602-609 - [c47]Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas:
Shifting Consumption towards Diverse Content on Music Streaming Platforms. WSDM 2021: 238-246 - 2020
- [j3]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
Special issue on learning from user interactions. Inf. Retr. J. 23(6): 525-527 (2020) - [j2]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): 5:1-5:11 (2020) - [c46]Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas:
Query Understanding for Surfacing Under-served Music Content. CIKM 2020: 2765-2772 - [c45]James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette:
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD 2020: 1779-1788 - [c44]Rishabh Mehrotra, Niannan Xue, Mounia Lalmas:
Bandit based Optimization of Multiple Objectives on a Music Streaming Platform. KDD 2020: 3224-3233 - [c43]Rishabh Mehrotra, Ashish Gupta:
Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization. KDD 2020: 3416-3425 - [c42]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: 3533-3534 - [c41]Ashish Gupta, Rishabh Mehrotra:
Joint Attention Neural Model for Demand Prediction in Online Marketplaces. NLDL 2020: 1-6 - [c40]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: 53-62 - [c39]Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas:
Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. RecSys 2020: 687-691 - [c38]Rishabh Mehrotra, Chirag Shah
Investigating Listeners' Responses to Divergent Recommendations. RecSys 2020: 692-696 - [c37]Aaron Ng, Rishabh Mehrotra:
Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions. RecSys 2020: 697-702 - [c36]Sahan Bulathwela
SUM'20: State-based User Modelling. WSDM 2020: 899-900 - [c35]Kevin Roitero, Ben Carterette, Rishabh Mehrotra, Mounia Lalmas:
Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems. WWW (Companion Volume) 2020: 694-702 - [c34]Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas:
Algorithmic Effects on the Diversity of Consumption on Spotify. WWW 2020: 2155-2165 - [i6]James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Ben Carterette:
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. CoRR abs/2007.12986 (2020)
2010 – 2019
- 2019
- [c33]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. AAAI 2019: 10027-10028 - [c32]Rishabh Mehrotra, Benjamin A. Carterette:
Recommendations in a marketplace. RecSys 2019: 580-581 - [c31]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: 1256-1267 - [c30]Brian Brost, Rishabh Mehrotra, Tristan Jehan:
The Music Streaming Sessions Dataset. WWW 2019: 2594-2600 - [c29]Paolo Dragone, Rishabh Mehrotra, Mounia Lalmas:
Deriving User- and Content-specific Rewards for Contextual Bandits. WWW 2019: 2680-2686 - [i5]Brian Brost, Rishabh Mehrotra, Tristan Jehan:
The Music Streaming Sessions Dataset. CoRR abs/1901.09851 (2019) - 2018
- [b1]Rishabh Mehrotra:
Inferring user needs and tasks from user interactions. University College London, UK, 2018 - [j1]Rishabh Mehrotra:
Inferring User Needs & Tasks from User Interactions. SIGIR Forum 52(2): 176-177 (2018) - [c28]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: 2243-2251 - [c27]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: 31-39 - [c26]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
LearnIR: WSDM 2018 Workshop on Learning from User Interactions. WSDM 2018: 797-798 - [i4]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. CoRR abs/1811.11833 (2018) - 2017
- [c25]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: 737-746 - [c24]Rishabh Mehrotra, Emine Yilmaz:
Task Embeddings: Learning Query Embeddings using Task Context. CIKM 2017: 2199-2202 - [c23]Rishabh Mehrotra, Prasanta Bhattacharya, Tianhui Tan, Tuan Phan:
Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context. ICIS 2017 - [c22]Rishabh Mehrotra, Prasanta Bhattacharya:
Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model. ICTIR 2017: 159-166 - [c21]Rishabh Mehrotra, Imed Zitouni, Ahmed Hassan Awadallah, Ahmed El Kholy, Madian Khabsa:
User Interaction Sequences for Search Satisfaction Prediction. SIGIR 2017: 165-174 - [c20]Rishabh Mehrotra, Emine Yilmaz:
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. SIGIR 2017: 285-294 - [c19]Evangelos Kanoulas
TREC 2017 Tasks Track Overview. TREC 2017 - [c18]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: 626-633 - [c17]Rishabh Mehrotra, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Hassan:
Identifying User Sessions in Interactions with Intelligent Digital Assistants. WWW (Companion Volume) 2017: 821-822 - [i3]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR abs/1705.10689 (2017) - [i2]Rishabh Mehrotra, Emine Yilmaz:
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. CoRR abs/1706.01574 (2017) - [i1]Rishabh Mehrotra, Prasanta Bhattacharya:
Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms. CoRR abs/1706.03249 (2017) - 2016
- [c16]Prasanta Bhattacharya, Rishabh Mehrotra:
The Information Network: Exploiting Causal Dependencies in Online Information Seeking. CHIIR 2016: 223-232 - [c15]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Characterizing Users' Multi-Tasking Behavior in Web Search. CHIIR 2016: 297-300 - [c14]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. HLT-NAACL 2016: 599-605 - [c13]Rishabh Mehrotra, Emine Yilmaz:
Query Log Mining for Inferring User Tasks and Needs. ECML/PKDD (3) 2016: 284-288 - [c12]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior. SIGIR 2016: 1049-1052 - [c11]Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas
Overview of the TREC Tasks Track 2016. TREC 2016 - 2015
- [c10]Rishabh Mehrotra, Emine Yilmaz:
Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization. ICTIR 2015: 131-140 - [c9]Rishabh Mehrotra, Emine Yilmaz:
Representative & Informative Query Selection for Learning to Rank using Submodular Functions. SIGIR 2015: 545-554 - [c8]Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, Evangelos Kanoulas
Overview of the TREC 2015 Tasks Track. TREC 2015 - [c7]Rishabh Mehrotra:
Topics, Tasks & Beyond: Learning Representations for Personalization. WSDM 2015: 459-464 - [c6]Rishabh Mehrotra, Emine Yilmaz:
Towards Hierarchies of Search Tasks & Subtasks. WWW (Companion Volume) 2015: 73-74 - [c5]Rishabh Mehrotra, Prasanta Bhattacharya:
Modeling the Evolution of User-generated Content on a Large Video Sharing Platform. WWW (Companion Volume) 2015: 365-366 - 2014
- [c4]Rishabh Mehrotra, Emine Yilmaz, Manisha Verma:
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization. RecSys Posters 2014 - 2013
- [c3]Rishabh Mehrotra, Scott Sanner, Wray L. Buntine
Improving LDA topic models for microblogs via tweet pooling and automatic labeling. SIGIR 2013: 889-892 - 2012
- [c2]Rishabh Mehrotra, Rushabh Agrawal, Syed Aqueel Haider:
Dictionary based sparse representation for domain adaptation. CIKM 2012: 2395-2398 - 2011
- [c1]Syed Aqueel Haider, Rishabh Mehrotra:
Corporate News Classification and Valence Prediction: A Supervised Approach. WASSA@ACL 2011: 175-181
Coauthor Index
aka: Mounia Lalmas
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