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On Computing Similarity Measures of Scientific Papers based on Vector Space Model and Probabilistic Models
- Issue Date
- Jun-2013
- Publisher
- 한국정보과학회
- Keywords
- probabilistic model; scientific papers; text- based similarity; vector space model
- Citation
- 2013 한국컴퓨터종합학술대회(KCC 2013), pp.300 - 302
- Indexed
- OTHER
- Journal Title
- 2013 한국컴퓨터종합학술대회(KCC 2013)
- Start Page
- 300
- End Page
- 302
- ISSN
- 1598-5164
- 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)