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빅데이터 검색 정확도에 미치는 다양한 측정 방법 기반 검색 기법의 효과
김지영(Ji young Kim),한다현(DaHyeon Han),김종권(Jongkwon Kim) Korean Institute of Information Scientists and Eng 2017 정보과학회논문지 Vol.44 No.5
With the rapid growth of Big Data, research on extracting meaningful information is being pursued by both academia and industry. Especially, data characteristics derived from analysis, and researcher intention are key factors for search algorithms to obtain accurate output. Therefore, reflecting both data characteristics and researcher intention properly is the final goal of data analysis research. The data analyzed properly can help users to increase loyalty to the service provided by company, and to utilize information more effectively and efficiently. In this paper, we explore various methods of document-evaluation, so that we can improve the accuracy of searching article one of the most frequently searches used in real life. We also analyze the experiment result, and suggest the proper manners to use various methods.