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A method for recommending the latest news articles via minhash and LSH
- Authors
- Hwang, Sang-Wook; Park, Jung; Kim, Won-Seok
- Issue Date
- Jan-2015
- Publisher
- Association for Computing Machinery, Inc
- Keywords
- Latest News Articles; LSH; MinHash; News Articles; Recommendation Method
- Citation
- ACM IMCOM 2015 - Proceedings, pp.1 - 6
- Indexed
- SCOPUS
- Journal Title
- ACM IMCOM 2015 - Proceedings
- Start Page
- 1
- End Page
- 6
- ISSN
- 0000-0000
- Abstract
- Since most users are more interested in the latest news articles that are recently updated, it is important to recommend those news articles to appropriate users. However, existing methods cannot recommend the latest news articles in a short time. This paper proposes a novel recommendation method focusing on the latest news articles. It spends much shorter execution time than the existing methods thanks to employing two approximation methods, MinHash and locality sensitive hashing. For evaluation, we conducted extensive experiments using a real-world dataset. The experimental results show that our method provides better accuracy and performs much faster than the existing methods.
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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)