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» Adapting boosting for information retrieval measures
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SIGIR
2011
ACM
12 years 11 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
IPM
2000
142views more  IPM 2000»
13 years 8 months ago
Adapting a diagnostic problem-solving model to information retrieval
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
Inien Syu, Sheau-Dong Lang
AIRWEB
2007
Springer
14 years 16 days ago
Measuring Similarity to Detect Qualified Links
The early success of link-based ranking algorithms was predicated on the assumption that links imply merit of the target pages. However, today many links exist for purposes other ...
Xiaoguang Qi, Lan Nie, Brian D. Davison
CIKM
2009
Springer
14 years 3 months ago
On domain similarity and effectiveness of adapting-to-rank
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
ICIP
2002
IEEE
14 years 10 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis