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 |
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代理人 |
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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 |