Computer Science – Information Retrieval
Scientific paper
2010-09-25
Computer Science
Information Retrieval
2 pages, 1 figure, ASIST 2010 conference, Pittsburgh, PA, USA
Scientific paper
This paper is a short description of an information retrieval system enhanced by three model driven retrieval services: (1) co-word analysis based query expansion, re-ranking via (2) Bradfordizing and (3) author centrality. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. Each service can be interactively combined with each other to allow an iterative retrieval refinement.
Mayr Philipp
Mutschke Peter
Schaer Philipp
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