Approaching Google Ranking with Semantically Related Terms

Approaching Google Ranking with Semantically Related Terms

碩士 === 元智大學 === 資訊管理學系 === 99 === This study aims to approximate Google ranking results using semantically related terms of query. Firstly, we crawled and extracted web page title, snippet and URL from Google search results. Then we found semantically related terms using Latent Semantic Analysis (LS...

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Bibliographic Details
Main Authors:	Chun-Ju Li, 李淳如
Other Authors:	Cheng-Jye Luh
Format:	Others
Language:	zh-TW
Published:	2011
Online Access:	http://ndltd.ncl.edu.tw/handle/75652668585464020794

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