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» Search Engines that Learn from Implicit Feedback
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ICWL
2004
Springer
15 years 4 months ago
Automatically Generating an e-Textbook on the Web
Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. The main means of learning on the Web is by submitting a query to a search engi...
Jing Chen, Qing Li, Liping Wang, Weijia Jia
87
Voted
IUI
2005
ACM
15 years 4 months ago
ComicKit: acquiring story scripts using common sense feedback
At the Media Lab we are developing a resource called StoryNet, a very-large database of story scripts that can be used for commonsense reasoning by computers. This paper introduce...
Ryan Williams 0002, Barbara Barry, Push Singh
FASE
2009
Springer
15 years 6 months ago
SNIFF: A Search Engine for Java Using Free-Form Queries
Reuse of existing libraries simplifies software development efforts. However, these libraries are often complex and reusing the APIs in the libraries involves a steep learning cu...
Shaunak Chatterjee, Sudeep Juvekar, Koushik Sen
ICPR
2008
IEEE
16 years 10 days ago
Using an artificial imagination for texture retrieval
Our goal is to determine if artificially imagined or synthesized images can be beneficial to interactive visual search. We present a novel approach for using artificially imagined...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
115
Voted
SIGIR
2004
ACM
15 years 4 months ago
A search engine for historical manuscript images
Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available...
Toni M. Rath, R. Manmatha, Victor Lavrenko