并行和被动Web浏览行为及其对网站浏览的影响分析
Analysing Parallel and Passive Web Browsing Behavior and its Effects on Website Metrics
摘要：
自万维网出现以来，深入了解网络用户的在线浏览行为一直是一个主要的研究课题。它提供了有用的信息，以优化网站设计，网页浏览器设计，搜索引擎产品，和在线广告。我们认为，新技术和新服务继续对人们浏览网络的方式产生重大影响。例如，在YouTube上收听音乐片段或在www.example.com上收听广播电台不需要用户坐在电脑前。社交媒体和社交网站（如Facebook）或微博网站（如Twitter）吸引了以前不太愿意上网的新型用户。人们浏览网页方式的这些变化具有一些新的特征，这些特征到目前为止还没有得到很好的理解。在本文中，我们通过展示DOBBS的第一批结果提供了新颖而独特的见解，DOBBS是我们长期努力创建的一个全面且具有代表性的数据集，用于捕获在线用户行为。我们首先调查的概念，并行浏览和被动浏览，显示浏览网页不再是一个专门的任务，许多用户。基于这些结果，我们然后分析它们对计算用户停留时间的影响-即，用户在网页上花费的时间--这已经成为量化网站受欢迎程度的一个重要指标。
英文摘要：
Getting deeper insights into the online browsing behavior of Web users has been a major research topic since the advent of the WWW. It provides useful information to optimize website design, Web browser design, search engines offerings, and online advertisement. We argue that new technologies and new services continue to have significant effects on the way how people browse the Web. For example, listening to music clips on YouTube or to a radio station on Last.fm does not require users to sit in front of their computer. Social media and networking sites like Facebook or micro-blogging sites like Twitter have attracted new types of users that previously were less inclined to go online. These changes in how people browse the Web feature new characteristics which are not well understood so far. In this paper, we provide novel and unique insights by presenting first results of DOBBS, our long-term effort to create a comprehensive and representative dataset capturing online user behavior. We firstly investigate the concepts of parallel browsing and passive browsing, showing that browsing the Web is no longer a dedicated task for many users. Based on these results, we then analyze their impact on the calculation of a user's dwell time -- i.e., the time the user spends on a webpage -- which has become an important metric to quantify the popularity of websites.
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。
