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» Generalized inverse document frequency
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CIKM
2010
Springer
14 years 10 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
79
Voted
ICDE
2006
IEEE
97views Database» more  ICDE 2006»
15 years 5 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...
81
Voted
WWW
2003
ACM
16 years 10 days 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...
92
Voted
CIKM
2009
Springer
15 years 3 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
16 years 21 days 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...