원문정보
한국인터넷방송통신학회
International Journal of Internet, Broadcasting and Communication
Vol.5 No.2
2013.08
pp.5-10
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
We proposed a novel similarity measure using weighted difference entropy (WDE) to improve the performance of the CF system. The proposed similarity metric evaluates the entropy with a preference score difference between the common rated items of two users, and normalizes it based on the Gaussian, tanh and sigmoid function. We showed significant improvement of experimental results and environments. These experiments involved changing the number of nearest neighborhoods, and we presented experimental results for two data sets with different characteristics, and results for the quality of recommendation.
목차
Abstract
1. Introduction
2. Similarity Measures Using Deference Entropy
3. Experimental Results
4. Conclusion
References
1. Introduction
2. Similarity Measures Using Deference Entropy
3. Experimental Results
4. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보