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Stamatina Betsi

dblp:92/2163 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-author

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
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval › structured document retrieval › XML retrieval
element retrieval
0.112006
User expectations from XML element retrieval · SIGIR 2006
Information retrieval › evaluation
user study
0.112006
User expectations from XML element retrieval · SIGIR 2006
Information retrieval › document retrieval › structured document retrieval
XML retrieval
0.112006
User expectations from XML element retrieval · SIGIR 2006

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

user study · 0.1
YearPublicationVenuePosition
2006 User expectations from XML element retrieval
abstract
The primary aim of XML element retrieval is to return to users XML elements, rather than whole documents. This poster describes a small study, in which we elicited users' expectations, i.e. their anticipated experience, when interacting with an XML retrieval system, as compared to a traditional 'flat' document retrieval system.
Stamatina Betsi, Mounia Lalmas-Roelleke, Anastasios Tombros, Theodora Tsikrika
SIGIR1