Subsequence kernel-based Chinese recommender system

doi:10.1109/ICNC.2010.5584041

	Subsequence kernel-based Chinese recommender system
	Pang, Shuxia; Li, Rui; Yuan, Zhanting; Zhang, Qiuyu
	2010
关键词	Factorization Websites Chinese Chinese recognition Kernel matrices Rapid growth Subsequence kernels
卷号	7
DOI	10.1109/ICNC.2010.5584041
页码	3652-3655
英文摘要	With the rapid growth of Chinese websites in several years, how to get the useful information for users on Chinese websites has become a critic issue. This paper proposes the subsequence kernel-based Chinese recommender system, and subsequence kernel provides a flexible method to make the Chinese recognition easier, which overcomes the weakness of efficiency degrading for large scale users. Subsequence based on Kernel Matrix Factorization (KMF) is used to indicate that a phrase/word occurs contiguously within another phrase, and subsequence to allow the possibility that gaps separate the different characters resulting in a noncontiguous occurrence within the phrase. Experiments show that this method outperforms the others. ©2010 IEEE.
会议录	Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116138]
专题	计算机与通信学院
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Pang, Shuxia,Li, Rui,Yuan, Zhanting,et al. Subsequence kernel-based Chinese recommender system[C]. 见:.