使用某些量词可视化主页的方法及其验证

Osamu Yamagata, N. Kataoka, K. Tsuda, M. Morisue
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引用次数: 1

摘要

本文提出了“网页兴趣指数”的概念,即根据用户的兴趣满足程度提取网页信息的特征。所提出的page-interest-index是一个将主页信息的这些特征与用户的兴趣满意程度相关联的值。还定义了“主页字符”和“浏览字符”的概念。它们是按照用户浏览页面的顺序由一系列页面兴趣索引组成的值。它们对于获得主页的概览很有用。我们开发了一个验证系统,并将其应用于消费品的主页。已经观察到,从Web文档中计算出的主页字符呈“向上凸”形状。同时,我们将从Web访问日志中获取的页面间转换概率作为隐马尔可夫模型(HMM)进行分析。我们证实了本文提出的page-interest-index、home - page-character和brow- character是对主页信息进行可视化表示的有用的主页量词。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of visualizing homepages using certain quantifiers and its verification
The paper proposes the concept of "page-interest-index", which is an extraction of the characteristics of homepage information according to the degree to which the user's interest is satisfied. The proposed page-interest-index is a value that correlates such characteristics of homepage information with the degree of satisfaction of the user's interest. The concepts of "homepage-character" and "browsing-character" are also defined. They are the values consisting of a sequence of page-interest-indices in the order of pages browsed by the user. They are useful for getting an overview of the homepage. We have developed a verification system and applied it to homepages of consumer products. It has been observed that the homepage-character calculated from the Web documents takes an "upward convex" shape. Meanwhile, we have analyzed the probability of transition between pages, which were obtained from the Web access log, as a hidden Markov model (HMM). We confirmed that the page-interest-index, homepage-character and browsing-character proposed in the paper are useful quantifiers of homepages for making a visual representation of homepage information.
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