Rishabh Mehrotra

According to our database1, Rishabh Mehrotra authored at least 48 papers between 2011 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Algorithmic Effects on the Diversity of Consumption on Spotify.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SUM'20: State-based User Modelling.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Investigating Listeners' Responses to Divergent Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Bandit based Optimization of Multiple Objectives on a Music Streaming Platform.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Query Understanding for Surfacing Under-served Music Content.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations.
Proceedings of the World Wide Web Conference, 2019

Deriving User- and Content-specific Rewards for Contextual Bandits.
Proceedings of the World Wide Web Conference, 2019

The Music Streaming Sessions Dataset.
Proceedings of the World Wide Web Conference, 2019

Recommendations in a marketplace.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Towards Task Understanding in Visual Settings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Inferring user needs and tasks from user interactions.
PhD thesis, 2018

Inferring User Needs & Tasks from User Interactions.
SIGIR Forum, 2018

LearnIR: WSDM 2018 Workshop on Learning from User Interactions.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Explore, exploit, and explain: personalizing explainable recommendations with bandits.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Characterizing and Predicting Supply-side Engagement on Crowd-contributed Video Sharing Platforms.
CoRR, 2017

Identifying User Sessions in Interactions with Intelligent Digital Assistants.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Auditing Search Engines for Differential Satisfaction Across Demographics.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

TREC 2017 Tasks Track Overview.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

User Interaction Sequences for Search Satisfaction Prediction.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model.
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Predictive Power of Online and Offline Behavior Sequences: Evidence from a Micro-finance Context.
Proceedings of the International Conference on Information Systems, 2017

Task Embeddings: Learning Query Embeddings using Task Context.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Deep Sequential Models for Task Satisfaction Prediction.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Overview of the TREC Tasks Track 2016.
Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Query Log Mining for Inferring User Tasks and Needs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks.
Proceedings of the NAACL HLT 2016, 2016

Characterizing Users' Multi-Tasking Behavior in Web Search.
Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

The Information Network: Exploiting Causal Dependencies in Online Information Seeking.
Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

2015
Towards Hierarchies of Search Tasks & Subtasks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Modeling the Evolution of User-generated Content on a Large Video Sharing Platform.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Topics, Tasks & Beyond: Learning Representations for Personalization.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Overview of the TREC 2015 Tasks Track.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Representative & Informative Query Selection for Learning to Rank using Submodular Functions.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014
Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

2013
Improving LDA topic models for microblogs via tweet pooling and automatic labeling.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

2012
Dictionary based sparse representation for domain adaptation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Corporate News Classification and Valence Prediction: A Supervised Approach.
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, 2011


  Loading...