The application of the semantic linking between the user query and relevance feedback

• Main Authors: Pei-Han Hsieh, 謝沛翰
• Other Authors: Shih-Chieh Chou
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/01183100870268622033

碩士 === 國立中央大學 === 資訊管理學系 === 101 === In the past, Information retrieval system often uses term frequency to measure the correlation between user query and corpus. The main problem is that quality of the user query can affect the retrieval efficiency. Recently, researchers have proposed the using of relevance feedback in the solving of this problem. One of the popular method is Rocchio algorithm. In the relevance feedback process, Rocchio algorithm uses positive and negative document to modify the user query. Our research proposes a method to retrieve the original query’s semantic information that Rocchio algorithm was ignored to filter irrelevant terms from positive relevance feedback. The performance of our method has been evaluated in experiment. In MAP, P@N and PR Curve show that our method is as good as Rocchio algorithm, in some case even better.