摘要
本文介绍了北京大学天网知名度系统的设计与开发工作,重点论述了中文名人网页相关度评价的因素、算法和相应的检索结果。针对目前搜索引擎服务的不足之处,该工作旨在改进网上信息服务的质量,提高个性化网上信息服务的能力。本系统在北京大学天网搜索引擎的基础上,利用自然语言处理、特别是中文信息提取的新技术,结合网页信息的特点,针对名人网页的检索提出了一种新的网页相关度评价算法,改善了检索结果排序的合理性,提高了名人网页检索服务的质量。
This paper introduced the design and implementation of Tianwang Fame System. It mainly discussed on the factors and algorithms that affect matching of a named entity with Chinese webpages' relevance evaluation on the celebrities. Aiming at shortages of the current Search Engines, the project is to improve the quality of the web information services, and to enhance the ability of the personalizing services. Based on the Tianwang Search Engine of Peking University, the Fame System adopted new techniques in Nature Language Processing, especially in Chinese information extraction according to the features of webpage information. The paper proposed a new method to the relevance evaluation of webpages against attributes of named enties. This method optimizes the order of the search results, and improves the service quality of Tianwang Fame System.
出处
《中文信息学报》
CSCD
北大核心
2003年第5期27-33,共7页
Journal of Chinese Information Processing
基金
国家自然科学基金资助项目(69973005)
863资助项目(2001AA14040)
北大-IBM创新研究院资助项目
关键词
计算机应用
中文信息处理
相关度
检索服务
信息提取
特征信息
computer application
Chinese information processing
relevance
searching service
information extraction
feature information
