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» Using the Wavelet Transform to Learn from User Feedback
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UIST
2010
ACM
14 years 9 months ago
Designing adaptive feedback for improving data entry accuracy
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
Kuang Chen, Joseph M. Hellerstein, Tapan S. Parikh
CIKM
2009
Springer
15 years 6 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
ICASSP
2007
IEEE
15 years 6 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
ECAI
1998
Springer
15 years 4 months ago
What You See Is What You Meant: direct knowledge editing with natural language feedback
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Richard Power, Donia Scott, Roger Evans
AVI
2004
15 years 1 months 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