activity
20172022
most citedAuditing Search Engines for Differential Satisfaction Across Demographics

70 citations · 163 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2022

Task Preferences across Languages on Community Question Answering Platforms

Sebastin Santy, Prasanta Bhattacharya, Rishabh Mehrotra

With the steady emergence of community question answering (CQA) platforms like Quora, StackExchange, and WikiHow, users now have an unprecedented access to information on various k…

stat.ML2022★ 3 cited

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

Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra +1

The ability to answer causal questions is crucial in many domains, as causal inference allows one to understand the impact of interventions. In many applications, only a single int…

cs.IR2022★ 8 cited

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

Emanuele Bugliarello, Rishabh Mehrotra, James Kirk +1

We consider the task of sequencing tracks on music streaming platforms where the goal is to maximise not only user satisfaction, but also artist- and platform-centric objectives, n…

cs.LG2020★ 47 cited

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions

James McInerney, Brian Brost, Praveen Chandar +2

Users of music streaming, video streaming, news recommendation, and e-commerce services often engage with content in a sequential manner. Providing and evaluating good sequences of…

cs.IR2019★ 2 cited

The Music Streaming Sessions Dataset

Brian Brost, Rishabh Mehrotra, Tristan Jehan

At the core of many important machine learning problems faced by online streaming services is a need to model how users interact with the content they are served. Unfortunately, th…

cs.IR2018

Towards Task Understanding in Visual Settings

Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra +1

We consider the problem of understanding real world tasks depicted in visual images. While most existing image captioning methods excel in producing natural language descriptions o…