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» Improved Link-Based Algorithms for Ranking Web Pages
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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 6 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
WWW
2002
ACM
14 years 8 months ago
The structure of broad topics on the web
The Web graph is a giant social network whose properties have been measured and modeled extensively in recent years. Most such studies concentrate on the graph structure alone, an...
Soumen Chakrabarti, Mukul Joshi, Kunal Punera, Dav...
SIGIR
2005
ACM
14 years 1 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
CIKM
2009
Springer
14 years 2 months ago
Exploiting bidirectional links: making spamming detection easier
Previous anti-spamming algorithms based on link structure suffer from either the weakness of the page value metric or the vagueness of the seed selection. In this paper, we propos...
Yan Zhang, Qiancheng Jiang, Lei Zhang, Yizhen Zhu
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 8 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims