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» Relevance Ranking Using Kernels
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WWW
2011
ACM
14 years 9 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
ICIP
2002
IEEE
16 years 4 months ago
Extraction of semantic objects from still images
In this work, we study the extraction of semantic objects from still images. We combine different ideas to extract them in a structured manner together with a perceptual metric th...
Alvaro Pardo
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 4 months ago
Mining Search-Phrase Definitions from Item Descriptions
In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
Hung V. Nguyen, Hasan Davulcu
CAEPIA
2011
Springer
14 years 3 months ago
A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters
Abstract. In the last years, cluster based retrieval has been demonstrated as an effective tool for both interactive retrieval and pseudo relevance feedback techniques. In this pa...
Javier Parapar, Alvaro Barreiro
WEBI
2010
Springer
15 years 1 months ago
Lightweight Clustering Methods for Webspam Demotion
Abstract--To make sure they can quickly respond to a specific query, the main search engines have several mechanisms. One of them consists in ranking web pages according to their i...
Thomas Largillier, Sylvain Peyronnet