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» Graph-based Word Clustering using a Web Search Engine
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WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
13 years 12 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...
WEBI
2010
Springer
13 years 3 months ago
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web
Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as a...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...
ISCI
2010
175views more  ISCI 2010»
13 years 4 months ago
Clustering web people search results using fuzzy ants
Person name queries often bring up web pages that correspond to individuals sharing the same name. The Web People Search (WePS) task consists of organizing search results for ambi...
Els Lefever, Timur Fayruzov, Véronique Host...
COLING
2010
13 years 23 days ago
A Novel Method for Bilingual Web Page Acquisition from Search Engine Web Records
A new approach has been developed for acquiring bilingual web pages from the result pages of search engines, which is composed of two challenging tasks. The first task is to detec...
Yanhui Feng, Yu Hong, Zhenxiang Yan, Jian-Min Yao,...
IRFC
2011
Springer
12 years 9 months ago
Word Clouds of Multiple Search Results
Search engine result pages (SERPs) are known as the most expensive real estate on the planet. Most queries yield millions of organic search results, yet searchers seldom look beyon...
Rianne Kaptein, Jaap Kamps