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» Discovering data dependencies in Web content mining
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CIKM
2008
Springer
14 years 22 days ago
A language for manipulating clustered web documents results
We propose a novel conception language for exploring the results retrieved by several internet search services (like search engines) that cluster retrieved documents. The goal is ...
Gloria Bordogna, Alessandro Campi, Giuseppe Psaila...
WOWMOM
1999
ACM
124views Multimedia» more  WOWMOM 1999»
14 years 3 months ago
Multimedia Web Services for Mobile Clients Using Quality Aware Transcoding
Mobile applications will increasingly depend upon multimedia information originating in the web and attempt to access this data over wireless networks that are more expensive and ...
Surendar Chandra, Carla Schlatter Ellis, Amin Vahd...
WWW
2001
ACM
14 years 11 months ago
Clustering user queries of a search engine
In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of...
Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang
IJIRR
2011
135views more  IJIRR 2011»
13 years 5 months ago
Query Recommendation for Improving Search Engine Results
— recently, search engines become more critical for finding information over the World Wide Web where web content growing fast, the user's satisfaction of search engine resu...
Hamada M. Zahera, Gamal F. El-Hady, W. F. Abd El-W...
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 8 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano