基于网页浏览的用户兴趣度研究

发布时间：2018-07-10 00:46

本文选题：人类动力学 + 网页浏览　；参考：《上海理工大学学报》2013年05期

【摘要】：根据高校校园网用户的网页浏览记录,着重分析用户在浏览网页时的不同行为兴趣特征.首先利用文本分类技术,分析提取出用户的兴趣行为关键词.其次在兴趣行为关键词的基础上,选取了若干典型个体用户,统计出这些典型个体用户网页浏览记录中对于每个兴趣关键词的访问量随时间变化的关系.最后运用归一化的方法对典型个体用户的兴趣度进行量化研究,从而实现了对于用户网页浏览过程中不同兴趣行为的度量以及进行相互比较的目标.
[Abstract]:According to the web browsing records of university campus network users, this paper focuses on the analysis of the different behavior interest characteristics of users when browsing the web pages. First, the text classification technology is used to analyze and extract the user's interest behavior key words. Secondly, on the basis of the key words of interest behavior, some typical individual users are selected and the typical individuals are used to find out the use of the typical individual users. The relationship between the amount of access to each interest keyword in the user's web browsing record and the time change of each interest keyword. Finally, the normalized method is used to quantify the interest of the typical individual users, so as to achieve the goals of the measurement of different interests and the comparison of the different interests in the process of user web browsing.
【作者单位】：上海理工大学管理学院;
【基金】：国家自然科学基金资助项目(70971089) 上海市重点学科建设资助项目(S30501)
【分类号】：TP393.092

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