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» Generalized inverse document frequency
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CIKM
2010
Springer
14 years 8 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
ICDE
2006
IEEE
97views Database» more  ICDE 2006»
15 years 3 months ago
Measuring Generality of Documents
Most traditional Information Retrieval (IR) systems, including web search engines, operationalize “relevant” as the word frequency in a document of a set of keywords. Because ...
Hyun Woong Shin, Eduard H. Hovy, Dennis McLeod, La...
WWW
2003
ACM
15 years 10 months ago
Query-free news search
Many daily activities present information in the form of a stream of text, and often people can benefit from additional information on the topic discussed. TV broadcast news can b...
Monika Rauch Henzinger, Bay-Wei Chang, Brian Milch...
CIKM
2009
Springer
15 years 1 months ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
ICIP
2009
IEEE
15 years 10 months ago
Super-resolution With Continuous Scan Shift
Super-resolution methods aimed to restore the spectrum of an original image above the half sampling frequency. The restoration problem is generally viewed as an inverse problem an...