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» Search Engines that Learn from Implicit Feedback
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ICALT
2007
IEEE
15 years 5 months ago
An Automatic Quiz Generation System for English Text
In this study, we design and prototype an automatic quiz generation system (auto-quiz for short) for a given English text to test learner comprehension of text content and English...
Li-Chun Sung, Yi-Chien Lin, Meng Chang Chen
CIKM
2008
Springer
15 years 1 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
AVI
2004
15 years 16 days ago
Scaffolding visually cluttered web pages to facilitate accessibility
Increasingly, rich and dynamic content and abundant links are making Web pages visually cluttered and widening the accessibility divide for the disabled and people with impairment...
Alison Lee
110
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WWW
2006
ACM
15 years 11 months ago
Detecting online commercial intention (OCI)
Understanding goals and preferences behind a user's online activities can greatly help information providers, such as search engine and E-Commerce web sites, to personalize c...
Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 6 months ago
Domain bias in web search
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang