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Mark Pearson

dblp:94/419 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Computer networks · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Web and social media mining · 100%
Computer networks
1 paper
Network measurement and analytics · 77% Internet architecture and protocols · 23%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and social media mining › user behavior analysis
user behavior characterization		 0.612022
A world wide view of browsing the world wide web · IMC 2022
Web and social media mining
web analytics		 0.612022
A world wide view of browsing the world wide web · IMC 2022
Algorithmic game theory and mechanism design › auction theory
combinatorial auction		 0.012000
Towards a universal test suite for combinatorial auction algorithms · EC 2000
Mathematical optimization
combinatorial optimization		 0.012000
Towards a universal test suite for combinatorial auction algorithms · EC 2000

Methods — techniques the papers use, named apart from their topics

telemetry analysis · 1.1large-scale measurement · 1.1
YearPublicationVenuePosition
2022 A world wide view of browsing the world wide web
abstract
In this paper, we perform the first large-scale study of how people spend time on the web. Our study is based on anonymous, aggregate telemetry data from several hundred million Google Chrome users who have explicitly enabled sharing URLs with Google and who have usage statistic reporting enabled. We analyze the distribution of web traffic, the types of websites that people visit and spend the most time on, the differences between desktop and mobile browsing behavior, the geographical differences in web usage, and the most popular websites in regions worldwide. Our study sheds light on online user behavior and how the research community can more accurately analyze the web in the future.
Kimberly Ruth, Aurore Fass, Jonathan Azose, Mark Pearson, Emma Thomas, Caitlin Sadowski, Zakir Durumeric
 IMC4
2000 Towards a universal test suite for combinatorial auction algorithms
abstract
All in-text\treferences\tunderlined\tin\tblue\tare\tlinked\tto\tpublications\ton\tResearchGate, letting you\taccess\tand\tread\tthem\timmediately.
Kevin Leyton-Brown, Mark Pearson, Yoav Shoham
 EC2
1982 What tells us when voicing has started?
Christopher J. Darwin, Mark Pearson
 Speech Commun.2