activity
20162020
most citedMeasuring Personalization of Web Search

3 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CY2020

Towards Integrating Fairness Transparently in Industrial Applications

Emily Dodwell, Cheryl Flynn, Balachander Krishnamurthy +2

Numerous Machine Learning (ML) bias-related failures in recent years have led to scrutiny of how companies incorporate aspects of transparency and accountability in their ML lifecy…

cs.NI2019

Measurements As First-class Artifacts

Paolo Laffranchini, Luis Rodrigues, Marco Canini +1

The emergence of programmable switches has sparked a significant amount of work on new techniques to perform more powerful measurement tasks, for instance, to obtain fine-grained t…

cs.NI2018

Information Market for Web Browsing: Design, Usability and Incremental Adoption

Arash Molavi Kakhki, Vijay Erramilli, Phillipa Gill +2

Browsing privacy solutions face an uphill battle to deployment. Many operate counter to the economic objectives of popular online services (e.g., by completely blocking ads) and do…

cs.CY2017★ 3 cited

Measuring Personalization of Web Search

Anikó Hannák, Piotr Sapieżyński, Arash Molavi Khaki +3

Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where different users receive different results for the same s…

cs.DS2016

Efficient Sampling for Better OSN Data Provisioning

Nick Duffield, Balachander Krishnamurthy

Data concerning the users and usage of Online Social Networks (OSNs) has become available externally, from public resources (e.g., user profiles), participation in OSNs (e.g., esta…

cs.CR2016

Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning

Muhammad Ikram, Hassan Jameel Asghar, Mohamed Ali Kaafar +2

Numerous tools have been developed to aggressively block the execution of popular JavaScript programs (JS) in Web browsers. Such blocking also affects functionality of webpages and…