你的网页浏览有多快乐？一个模型来量化满意度的互联网用户，搜索所需的信息
How happy is your web browsing? A model to quantify satisfaction of an Internet user, searching for desired information
摘要：
当网络浏览操作为我们提供必要的信息时，我们感到高兴;否则，我们感到痛苦。如何衡量这种幸福（或痛苦）？在浏览网页的过程中，幸福感的轮廓是如何增长和衰减的？我们提出了一个概率框架，模型的用户满意度的演变，在他/她的持续挫折感没有找到所需的信息。结果发现，网络搜索个人的累积满意度曲线可以有效地建模为随机项的随机数的总和，其中每个项是相互独立的随机变量，起源于“无记忆”泊松流。在用户浏览的整个时间间隔内的满意度的演化建模与自相关分析。一个实用的标记，大于统一的描述快乐的网络搜索操作的幅度;和经验的限制，连接用户的满意度与他的挫折感水平-也提出了建议。网站第一页中是否有相关信息，以及用户满意度衰减参数的大小（沮丧、愤怒等），被发现是主导网络浏览器心理的两个关键方面。该模型采用不同的衰减参数，搜索时间和有用的网站数量的组合。所获得的结果被认为是从三个现实生活中的案例研究的结果相匹配。
英文摘要：
We feel happy when web-browsing operations provide us with necessary information; otherwise, we feel bitter. How to measure this happiness (or bitterness)? How does the profile of happiness grow and decay during the course of web-browsing? We propose a probabilistic framework that models evolution of user satisfaction, on top of his/her continuous frustration at not finding the required information. It is found that the cumulative satisfaction profile of a web-searching individual can be modeled effectively as the sum of random number of random terms, where each term is mutually independent random variable, originating from 'memoryless' Poisson flow. Evolution of satisfaction over the entire time interval of user's browsing was modeled with auto-correlation analysis. A utilitarian marker, magnitude of greater than unity of which describe happy web-searching operations; and an empirical limit that connects user's satisfaction with his frustration level - are proposed too. Presence of pertinent information in the very first page of a web-site and magnitude of the decay parameter of user satisfaction (frustration, irritation etc.), are found to be two key aspects that dominate web-browser's psychology. The proposed model employed different combination of decay parameter, searching time and number of helpful web-sites. Obtained results are found to match the results from three real-life case-studies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
