论文部分内容阅读
信息过滤 ( information filtering)是解决网络信息查询困难的重要方法 ,其核心技术是用户信息需求的获取和信息匹配算法 .该文从这两方面讨论了在 Internet上进行信息过滤的问题 .在用户信息获取方面 ,提出通过扩展浏览器上的 Bookmark功能 ,跟踪用户信息需求 ,并直接利用用户评价文章来表达用户需求 .在信息匹配方面 ,提出最大间距进行 ranking的算法 .实验表明 ,它比传统算法精度更高 .作为对上述方法的实现 ,设计了 Bookmark服务系统 ,给出其系统框图 ,并介绍了它的功能
Information filtering is an important method to solve the problem of network information query, and its core technology is the acquisition of user information needs and information matching algorithm.This paper discusses the problem of information filtering on the Internet in these two aspects.In the user information In the aspect of obtaining, we proposed to expand the browser’s Bookmark function to track the user’s information needs and directly use the user’s evaluation articles to express the user’s needs.In the aspect of information matching, we put forward the algorithm of ranking with the maximum distance between the two algorithms.Experiments show that it is more accurate than the traditional algorithm Higher.As a realization of the above method, a Bookmark service system is designed, the system block diagram is given, and its function