发明名称 AUTOMATED EXPERIMENT SCHEDULING
摘要 Various embodiments are generally directed to an automated A/B testing system using a combination of classical and alternative statistical analysis to control the performance A/B tests. An apparatus includes a processor circuit; and logic to commence collection of a specified number of samples of user responses to multiple versions of a user interface in a test, employ an alternative statistical analysis to analyze the samples as they are collected, determine whether a proposed version elicits a statistically significant improvement in user response over a control version, terminate the test before the specified number of samples are collected in response to a statistically significant improvement over the control version elicited by the proposed version, and complete collection of the specified number of samples and employ a classical statistical analysis to analyze the samples in response to the proposed version not eliciting the statistically significant improvement. Other embodiments are described and claimed.
申请公布号 US2014278198(A1) 申请公布日期 2014.09.18
申请号 US201313797020 申请日期 2013.03.12
申请人 CBS INTERACTIVE INC. 发明人 Lyon Clifford;Rothman Ron H.
分类号 G06F17/18;G01D1/00 主分类号 G06F17/18
代理机构 代理人
主权项 1. An apparatus comprising: a processor circuit; and logic to: commence collection of a specified number of samples of user responses to multiple versions of a user interface in a test;employ an alternative statistical analysis to analyze the samples as the samples are collected;determine whether a proposed version of the multiple versions elicits a statistically significant improvement in user response over a control version of the multiple versions;terminate the test before the specified number of samples are collected in response to a statistically significant improvement over the control version elicited by the proposed version; andcomplete collection of the specified number of samples and employ a classical statistical analysis to analyze the samples in response to the proposed version not eliciting the statistically significant improvement.
地址 San Francisco CA US