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» XML retrieval: what to retrieve
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JCDL
2010
ACM
187views Education» more  JCDL 2010»
13 years 12 months ago
Social network document ranking
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-H...
CLEF
2008
Springer
13 years 11 months ago
A Study of Users' Image Seeking Behaviour in FlickLing
This study aims to explore users' image seeking behaviour when searching for a known, non-annotated image in Flickling provided by iCLEF2008 track. The task assigned to users...
Evgenia Vassilakaki, Frances C. Johnson, Richard J...
DBSEC
2004
108views Database» more  DBSEC 2004»
13 years 11 months ago
Why Is this User Asking so Many Questions? Explaining Sequences of Queries
A sequence of queries submitted by a database user within a short period of time may have a single, illuminating explanation. In this paper we consider sequences of single-record q...
Aybar C. Acar, Amihai Motro
CLEF
2009
Springer
13 years 11 months ago
Where in the Wikipedia Is That Answer? The XLDB at the GikiCLEF 2009 Task
GikiCLEF focused on the evaluation of the reasoning capabilities of systems to provide right answers for geographically-challenging topics. As we did not have previous experience ...
Nuno Cardoso, David Batista, Francisco J. Ló...
SIGIR
2008
ACM
13 years 9 months ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...