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SIGIR
2011
ACM
14 years 13 days 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
CVPR
2012
IEEE
13 years 1 days ago
WhittleSearch: Image search with relative attribute feedback
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
Adriana Kovashka, Devi Parikh, Kristen Grauman
COMPSAC
2004
IEEE
15 years 1 months ago
Excalibur: A Personalized Meta Search Engine
General purpose Web search engines are becoming ineffective due to the rapid growth and changes in the contents of the World Wide Web. Meta-search engines help a bit by having a b...
Leo Yuen, Matthew Chang, Ying Kit Lai, Chung Keung...
CORR
2006
Springer
118views Education» more  CORR 2006»
14 years 9 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
CIKM
2007
Springer
15 years 1 months ago
Web search personalization with ontological user profiles
Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particu...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke