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WWW
2002
ACM
14 years 9 months ago
Expert agreement and content based reranking in a meta search environment using Mearf
Recent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective ...
B. Uygar Oztekin, George Karypis, Vipin Kumar
IFIP
2005
Springer
14 years 2 months ago
Content-Based Image Retrieval for Digital Forensics
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...
RIAO
2007
13 years 10 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
ICIW
2009
IEEE
13 years 6 months ago
Utilizing RSS Feeds for Crawling the Web
We present "advaRSS" crawling mechanism which is created in order to support peRSSonal, a mechanism used to create personalized RSS feeds. In contrast to the common crawl...
George Adam, Christos Bouras, Vassilis Poulopoulos
WWW
2009
ACM
14 years 9 months ago
Large scale multi-label classification via metalabeler
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
Lei Tang, Suju Rajan, Vijay K. Narayanan