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CHI
2007
ACM
16 years 2 months ago
Towards a tool for predicting user exploration
CogTool-Explorer is a tool to predict user exploration choices given a user interface and task. We describe the integration of components that make up CogToolExplorer, and how it ...
Leonghwee Teo, Bonnie E. John, Peter Pirolli
WWW
2002
ACM
16 years 2 months ago
Probabilistic question answering on the web
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that...
Dragomir R. Radev, Weiguo Fan, Hong Qi, Harris Wu,...
MM
2009
ACM
230views Multimedia» more  MM 2009»
15 years 8 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
WWW
2010
ACM
15 years 8 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
SIGIR
2005
ACM
15 years 7 months ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...