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20172022
most citedAuditing Search Engines for Differential Satisfaction Across Demographics

70 citations · 161 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.IR20228 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.IR2019

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…

cs.IR201733 cited

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

Rishabh Mehrotra, Emine Yilmaz

A significant amount of search queries originate from some real world information need or tasks. In order to improve the search experience of the end users, it is important to have…

cs.IR201770 cited

Auditing Search Engines for Differential Satisfaction Across Demographics

Rishabh Mehrotra, Ashton Anderson, Fernando Diaz +3

Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or o…