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CIKM
2007
Springer
15 years 7 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
CIKM
2007
Springer
15 years 7 months ago
"More like these": growing entity classes from seeds
We present a corpus-based approach to the class expansion task. For a given set of seed entities we use co-occurrence statistics taken from a text collection to define a membersh...
Luís Sarmento, Valentin Jijkoun, Maarten de...
CIKM
2008
Springer
15 years 3 months ago
Modeling document features for expert finding
We argue that expert finding is sensitive to multiple document features in an organization, and therefore, can benefit from the incorporation of these document features. We propos...
Jianhan Zhu, Dawei Song, Stefan M. Rüger, Xia...
SIGIR
2002
ACM
15 years 1 months ago
The Importance of Prior Probabilities for Entry Page Search
An important class of searches on the world-wide-web has the goal to find an entry page (homepage) of an organisation. Entry page search is quite different from Ad Hoc search. Ind...
Wessel Kraaij, Thijs Westerveld, Djoerd Hiemstra
CIKM
2009
Springer
14 years 11 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin