John Hershberger 0002

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dblp:40/1989 · DBLP profile ↗

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2ranked-venue papers

0as first author

0since 2021 · last 2003

—ORCID · none

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

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 1Theory of computation · 1Applied, interdisciplinary, general and emerging computing · 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.

Theoretical computer science 1 paper		Algorithmic game theory and mechanism design · 100%
Databases, data mining, and information retrieval 1 paper		Indexing and storage engines · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Indexing and storage engines › access methods ordered index	1	2003	Multi-attribute exchange market: representation and indexing of orders · EC 2003
Algorithmic game theory and mechanism design › market design exchange market	1	2003	Multi-attribute exchange market: representation and indexing of orders · EC 2003
Algorithmic game theory and mechanism design market design	1	2003	Multi-attribute exchange market: representation and indexing of orders · EC 2003

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

indexing · 0.1

Year	Publication	Venue	Position
2003	Multi-attribute exchange market: representation and indexing of orders abstract We present an automated exchange for trading complex goods, such as used cars, which allows traders to describe desirable purchases and sales by multiple attributes. The developed exchange system supports markets with up to 300,000 orders. Eugene Fink, Josh Johnson, John Hershberger 0002	EC	3
2003	Fast-paced trading of multi-attribute goods abstract We present an exchange system for trading nonstandard goods, such as used cars. We explain the representation of desirable purchases and sales, describe data structures for fast identification of matches between buyers and sellers, and give experiments on the system's performance. Eugene Fink, Josh Johnson, John Hershberger 0002	SMC	3