Rishabh Mehrotra

发表

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

Casper Hansen, Mounia Lalmas, Federico Tomasi, 2020, RecSys.

Towards Learning Coupled Representations for Cross-Lingual Information Retrieval

Rishabh Mehrotra, 2012 .

The Multisided Complexity of Fairness in Recommender Systems

Michael D. Ekstrand, R. Burke, Nasim Sonboli, 2022, AI Mag..

Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders

M. Lalmas, Rishabh Mehrotra, Ciarán M. Gilligan-Lee, 2022, NeurIPS.

Extracting & Leveraging User Interaction Sequences for Search Satisfaction Prediction

Imed Zitouni, Ahmed Hassan Awadallah, Rishabh Mehrotra, 2017 .

Inferring User Needs & Tasks from User Interactions

Rishabh Mehrotra, Rishabh Mehrotra, 2019, SIGIR Forum.

Improving LDA topic models for microblogs via tweet pooling and automatic labeling

Scott Sanner, Lexing Xie, Wray L. Buntine, 2013, SIGIR.

Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations

Mounia Lalmas, Rishabh Mehrotra, Doug Kenney, 2019, WWW.

Auditing Search Engines for Differential Satisfaction Across Demographics

Fernando Diaz, Emine Yilmaz, Amit Sharma, 2017, WWW.

Bandit based Optimization of Multiple Objectives on a Music Streaming Platform

Mounia Lalmas, Rishabh Mehrotra, Niannan Xue, 2020, KDD.

Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems

Fernando Diaz, Mounia Lalmas, James McInerney, 2018, CIKM.

Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach

Emine Yilmaz, Rishabh Mehrotra, Emine Yilmaz, 2017, SIGIR.

Algorithmic Effects on the Diversity of Consumption on Spotify

Mounia Lalmas, Rishabh Mehrotra, Ashton Anderson, 2020, WWW.

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

Lucas Maystre, M. Lalmas, Casper Hansen, 2020, RecSys.

Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations

Rishabh Mehrotra, Rishabh Mehrotra, 2021, CIKM.

Query Understanding for Surfacing Under-served Music Content

Judith Bütepage, M. Lalmas, Aasish Pappu, 2020, CIKM.

Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems

Mounia Lalmas, Rishabh Mehrotra, Kevin Roitero, 2020, WWW.

TREC 2017 Tasks Track Overview

Ben Carterette, Peter Bailey, Emine Yilmaz, 2017, TREC.

Overview of the TREC Tasks Track 2016

Ben Carterette, Peter Bailey, Emine Yilmaz, 2016, TREC.

Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior

Emine Yilmaz, Rishabh Mehrotra, Prasanta Bhattacharya, 2016, SIGIR.

Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization

Emine Yilmaz, Rishabh Mehrotra, Emine Yilmaz, 2015, ICTIR.

Explore, exploit, and explain: personalizing explainable recommendations with bandits

James McInerney, Rishabh Mehrotra, Hugues Bouchard, 2018, RecSys.

Towards Task Understanding in Visual Settings pdf

Emine Yilmaz, Rishabh Mehrotra, Sebastin Santy, 2018, AAAI.

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions

Ben Carterette, Rishabh Mehrotra, Praveen Chandar, 2020, KDD.

Query Log Mining for Inferring User Tasks and Needs

Emine Yilmaz, Rishabh Mehrotra, Emine Yilmaz, 2016, ECML/PKDD.

Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions

Mounia Lalmas, Rishabh Mehrotra, Prasanta Bhattacharya, 2020, RecSys.

The Music Streaming Sessions Dataset

Rishabh Mehrotra, Tristan Jehan, Brian Brost, 2018, WWW.

Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing

M. Lalmas, Rishabh Mehrotra, Emanuele Bugliarello, 2022, WWW.

Recommendations in a marketplace

Ben Carterette, Rishabh Mehrotra, Ben Carterette, 2019, RecSys.

Task Preferences across Languages on Community Question Answering Platforms

Prasanta Bhattacharya, Rishabh Mehrotra, Sebastin Santy, 2022, ArXiv.

Towards Hierarchies of Search Tasks & Subtasks

Emine Yilmaz, Rishabh Mehrotra, Emine Yilmaz, 2015, WWW.

Task-Based User Modelling for Personalization via Probabilistic Matrix Factorization

Emine Yilmaz, Manisha Verma, Rishabh Mehrotra, 2014, RecSys Posters.

Exploiting Sequential Music Preferences via Optimisation-Based Sequencing

M. Lalmas, Rishabh Mehrotra, Dmitrii Moor, 2023, CIKM.

Multi-Task Learning of Graph-based Inductive Representations of Music Content

Mounia Lalmas, Federico Tomasi, Rishabh Mehrotra, 2021, ISMIR.

Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks

Emine Yilmaz, Rishabh Mehrotra, Prasanta Bhattacharya, 2016, NAACL.

Topics, Tasks & Beyond: Learning Representations for Personalization

Rishabh Mehrotra, Rishabh Mehrotra, 2015, WSDM.

The Information Network: Exploiting Causal Dependencies in Online Information Seeking

Rishabh Mehrotra, Prasanta Bhattacharya, Prasanta Bhattacharya, 2016, CHIIR.