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» Semantic based clustering of Web documents
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WWW
2011
ACM
13 years 2 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
WIDM
2004
ACM
14 years 1 months ago
WISE-cluster: clustering e-commerce search engines automatically
In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This all...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
WWW
2003
ACM
14 years 8 months ago
Improving pseudo-relevance feedback in web information retrieval using web page segmentation
In contrast to traditional document retrieval, a web page as a whole is not a good information unit to search because it often contains multiple topics and a lot of irrelevant inf...
Shipeng Yu, Deng Cai, Ji-Rong Wen, Wei-Ying Ma
LREC
2008
105views Education» more  LREC 2008»
13 years 9 months ago
Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
MMM
2011
Springer
368views Multimedia» more  MMM 2011»
12 years 11 months ago
Correlated PLSA for Image Clustering
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
Peng Li, Jian Cheng, Zechao Li, Hanqing Lu