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Maria del Rocio Gomez Crisostomo

dblp:31/7185 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Databases, data management, data science and information retrieval · 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
Information retrieval · 70% Data mining · 30%

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

TopicWeightPapersLastEvidence papers
Information retrieval
evaluation
0.112009
Visualizing the problems with the INEX topics · SIGIR 2009
Information retrieval › evaluation
test collection
0.112009
Visualizing the problems with the INEX topics · SIGIR 2009
Data mining › text mining › topic model
topic quality evaluation
0.112009
Visualizing the problems with the INEX topics · SIGIR 2009
Information retrieval › document retrieval › structured document retrieval
XML retrieval
0.012009
Visualizing the problems with the INEX topics · SIGIR 2009

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

visualization · 0.1
YearPublicationVenuePosition
2009 Visualizing the problems with the INEX topics
abstract
Topics form a crucial component of a test collection. We show, through visualization, that the INEX 2008 topics have shortcomings, which questions their validity for evaluating XML retrieval effectiveness.
Andrew Trotman, Maria del Rocio Gomez Crisostomo, Mounia Lalmas-Roelleke
SIGIR2