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SIGIR
2011
ACM
14 years 2 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
CVPR
2012
IEEE
13 years 2 months 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 3 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 11 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 3 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