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网站实验者的七条经验法则

Seven Rules of Thumb for Web Site Experimenters
课程网址: http://videolectures.net/kdd2014_kohavi_web_site_experimenters/  
主讲教师: Ron Kohavi
开课单位: 微软公司
开课时间: 2014-10-07
课程语种: 英语
中文简介:

网站所有者,从小型网站到包括Amazon,Facebook,Google,LinkedIn,Microsoft和Yahoo在内的最大资产,都试图改善其网站,优化标准,从重复使用,网站停留时间到收入。我们参与了在亚马逊,Booking.com,LinkedIn和多个Microsoft场所进行的数千个受控实验,因此我们为实验人员分享了七个经验法则,这些经验法则是我们从这些实验及其结果中得出的。我们认为这些原则在受控实验之外的Web优化和分析中具有广泛的适用性,但并不能证明是正确的,并且在某些情况下是已知的例外。

为支持这些经验法则,我们分享多个真实示例,其中大多数是首次在公共报纸上分享。以前已经陈述了一些经验法则,例如“速度问题”,但是我们在实验设计中描述了这些假设,并分享了其他实验,这些实验可以增进我们对速度问题的理解:网页的某些区域更为关键。 / p>

本文有两个目标。首先,它可以用经验法则指导实验者,以帮助他们优化站点。其次,它为KDD社区在适用性,例外及其扩展方面提出了新的研究挑战,这是KDD产业发展的目标之一。

课程简介: Web site owners, from small web sites to the largest properties that include Amazon, Facebook, Google, LinkedIn, Microsoft, and Yahoo, attempt to improve their web sites, optimizing for criteria ranging from repeat usage, time on site, to revenue. Having been involved in running thousands of controlled experiments at Amazon, Booking.com, LinkedIn, and multiple Microsoft properties, we share seven rules of thumb for experimenters, which we have generalized from these experiments and their results. These are principles that we believe have broad applicability in web optimization and analytics outside of controlled experiments, yet they are not provably correct, and in some cases exceptions are known. To support these rules of thumb, we share multiple real examples, most being shared in a public paper for the first time. Some rules of thumb have previously been stated, such as 'speed matters,' but we describe the assumptions in the experimental design and share additional experiments that improved our understanding of where speed matters more: certain areas of the web page are more critical. This paper serves two goals. First, it can guide experimenters with rules of thumb that can help them optimize their sites. Second, it provides the KDD community with new research challenges on the applicability, exceptions, and extensions to these, one of the goals for KDD's industrial track.
关 键 词: 网站; 经验法则; Web优化
课程来源: 视频讲座网
数据采集: 2021-02-16:nkq
最后编审: 2021-05-14:yumf
阅读次数: 46