Investigations in Learning Algorithms for Web Page Scoring Systems

网页评分系统学习算法的研究

• 批准号: DP0453089
• 负责人: A/Prof Markus Hagenbuchner
• 金额: $ 10.45万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-01-02 至 2007-07-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0453089
• 关键词: Investigations; Learning; Algorithms; Web; Page

Modification of web page scores to satisfy requirements, e.g., one page should have a higher page score than another, a home page should have higher score than any other pages in the same site, using modifications of the forcing function, and the link connectivity matrix respectively of the PageRank equation will be studied. By clustering web pages either by ranks or by scores will help overcome issues of scale and complexity which are required for the live world wide web. Outcomes will provide a rational basis together with practical methods for modifying web page scores by a web site administrator.

修改网页分数以满足要求，例如，一个页面应该比另一个页面具有更高的页面得分，主页应该比同一站点中的任何其他页面具有更高的得分，使用强制函数的修改，并且将分别研究PageRank方程的链接连接矩阵。通过按等级或分数对网页进行聚类，将有助于克服实时万维网所需的规模和复杂性问题。结果将提供一个合理的基础上，与实际的方法一起修改网页分数的网站管理员。