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» Using Information Extraction to Improve Document Retrieval
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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 7 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
WWW
2009
ACM
16 years 7 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle
JCIT
2010
190views more  JCIT 2010»
15 years 1 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
WWW
2004
ACM
16 years 7 months ago
Link fusion: a unified link analysis framework for multi-type interrelated data objects
Web link analysis has proven to be a significant enhancement for quality based web search. Most existing links can be classified into two categories: intra-type links (e.g., web h...
Wensi Xi, Benyu Zhang, Zheng Chen, Yizhou Lu, Shui...
ICSM
2005
IEEE
16 years 13 days ago
IRiSS - A Source Code Exploration Tool
IRiSS (Information Retrieval based Software Search) is a software exploration tool that uses an indexing engine based on an information retrieval method. IRiSS is implemented as a...
Denys Poshyvanyk, Andrian Marcus, Yubo Dong, Andre...