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» Improving Web Search Relevance with Semantic Features
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WWW
2011
ACM
13 years 3 months ago
Identifying primary content from web pages and its application to web search ranking
Web pages are usually highly structured documents. In some documents, content with different functionality is laid out in blocks, some merely supporting the main discourse. In ot...
Srinivas Vadrevu, Emre Velipasaoglu
TMM
2002
140views more  TMM 2002»
13 years 8 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ESWS
2006
Springer
14 years 9 days ago
Using Semantics to Enhance the Blogging Experience
Blogging, as a subset of the web as a whole, can benefit greatly from the addition of semantic metadata. The result -- which we will call Semantic Blogging -- provides improved cap...
Knud Möller, Uldis Bojars, John G. Breslin
CIKM
2008
Springer
13 years 10 months ago
Using English information in non-English web search
The leading web search engines have spent a decade building highly specialized ranking functions for English web pages. One of the reasons these ranking functions are effective is...
Wei Gao, John Blitzer, Ming Zhou
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi