상세 보기
On Computing Similarity Measures of Scientific Papers based on Vector Space Model and Probabilistic Models
- Hamedani, Masoud Reyhani;
- Lee, Sang-Chul;
- Kim, Sang Wook
초록
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.
키워드
probabilistic model; scientific papers; text- based similarity; vector space model
- 제목
- On Computing Similarity Measures of Scientific Papers based on Vector Space Model and Probabilistic Models
- 저자
- Hamedani, Masoud Reyhani; Lee, Sang-Chul; Kim, Sang Wook
- 발행일
- 2013-06
- 유형
- Proceeding
- 저널명
- 2013 한국컴퓨터종합학술대회(KCC 2013)
- 페이지
- 300 ~ 302