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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/75652668585464020794 |