摘要
Web个性化服务的核心技术之一是准确描述用户兴趣的用户模型,通过用户行为来挖掘用户兴趣是这一领域研究的重要手段.该文为了对Web个性化服务中用户浏览文档进行分析研究,采用了一种新型的个性化分词词典,通过实验证明是切实可行的,并且极大提高了系统的效率.
The key of the Web personalized service is the user profile which can precisely describe user interest. Mining user interest by user behavior is an important method in this research. This paper analyzed and studied user browsing documents of Web personalized service by a new personalized dictionary. The experiment results show that the new method is useful and effective.
出处
《泰山学院学报》
2007年第6期91-95,共5页
Journal of Taishan University
基金
高等学校博士学科点专项科研基金资助课题(20030611016)
关键词
中文信息处理
汉语自动分词词典机制
个性化
Chinese information processing
dictionary mechanism for Chinese word segmentation
personaliza-tion
