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» Relevance Ranking Using Kernels
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SIGIR
2009
ACM
15 years 9 months ago
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Social tagging is becoming increasingly popular in many Web 2.0 applications where users can annotate resources (e.g. Web pages) with arbitrary keywords (i.e. tags). A tag recomme...
Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can ...
CIKM
2009
Springer
15 years 9 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 4 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
115
Voted
GEOINFORMATICA
1998
107views more  GEOINFORMATICA 1998»
15 years 2 months ago
A Comparison of Two Approaches to Ranking Algorithms Used to Compute Hill Slopes
The calculation of slope (downhill gradient) for a point in a digital elevation model (DEM) is a common procedure in the hydrological, environmental and remote sensing sciences. T...
Kevin H. Jones
354
Voted
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
16 years 4 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft