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PRIMA - Towards an Automatic Review/Paper Matching Score Calculation

: Caldera, Christian

Volltext urn:nbn:de:0011-n-3453442 (424 KByte PDF)
MD5 Fingerprint: b22999d129f19457a28a5c322f9c0263
Erstellt am: 14.7.2015

Volltext ()

Sehring, Hans-Werner (Ed.); Berndt, Rene (Ed.) ; International Academy, Research, and Industry Association -IARIA-:
CONTENT 2014. The Sixth International Conference on Creative Content Technologies. Online resource
ThinkMind, 2014
ISBN: 978-1-61208-342-1
International Conference on Creative Content Technologies (CONTENT) <6, 2014, Venice>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Publishing; Matching; Information retrieval; Conference management systems; Digital society; Interactive simulation; semantic Models, Immersive Systems (SMIS)

Programme chairs of scientific conferences face a tremendous time pressure. One of the most time-consuming steps during the conference workflow is assigning members of the international programme committee (IPC) to the received submissions. Finding the best-suited persons for reviewing strongly depends on how the paper matches the expertise of each IPC member. While various approaches like "bidding" or "topic matching" exist in order to make the knowledge of these expertises explicit, these approaches allocate a considerable amount of resources on the IPC member side. This paper introduces the Paper Rating and IPC Matching Tool (PRIMA), which reduces the workload for both - IPC members and chairs - to support and improve the assignment process.