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A Comparative Study of Vector Space and Probabilistic Models in Computing Similarity of Scientific Papers논문 유사도 계산에서 벡터 공간 모델과 확률 모델의 비교 연구
- Other Titles
- 논문 유사도 계산에서 벡터 공간 모델과 확률 모델의 비교 연구
- Issue Date
- Mar-2014
- Publisher
- 한국정보과학회
- Keywords
- 확률 모델; 학술 논문; 텍스트 기반 유사도; 벡터 공간 모델; probabilistic model; scientific papers; text- based similarity; vector space model
- Citation
- 정보과학회 컴퓨팅의 실제 논문지, v.20, no.3, pp.186 - 190
- Indexed
- KCI
- Journal Title
- 정보과학회 컴퓨팅의 실제 논문지
- Volume
- 20
- Number
- 3
- Start Page
- 186
- End Page
- 190
- ISSN
- 2383-6318
- Abstract
- In this paper, we evaluate and compare the effectiveness and efficiency of the text-based similarity measures based on the vector space model and probabilistic model for scientific papers by using a real-world dataset. Our extensive experimental results show that the similarity measures based on the vector space model are more appropriate to compute the similarity of scientific papers.
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Collections - 서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
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Related Researcher
- Kim, Sang-Wook
- COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)