Using the GAAC Clustering Method to Improve the Ranking of Chinese Retrieval Systems
碩士 === 淡江大學 === 資訊管理學系碩士班 === 97 === Traditional desktop search engines such as Google desktop search or the TFIDF vector space retrieval system usually return a document ranking which still takes time to filter the desired documents. To improve the document ranking, this work proposes a two stage c...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
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Online Access: | http://ndltd.ncl.edu.tw/handle/04425669163524488237 |