Regression Tree for Bandits Models in A/B Testing

被引:3
|
作者
Claeys, Emmanuelle [1 ,2 ,3 ]
Gancarski, Pierre [1 ]
Maumy-Bertrand, Myriam [2 ]
Wassner, Hubert [3 ]
机构
[1] Strasbourg Univ, CNRS, ICUBE, 300 Bd Sebastien Brant, F-67400 Illkirch Graffenstaden, France
[2] Strasbourg Univ, CNRS, IRMA, 7 Rue Rene Descartes, F-67000 Strasbourg, France
[3] AB TASTY, 3 Impasse Planchette, F-75003 Paris, France
关键词
A/B Test; best arm identification; bandit models; regression tree; time clustering; topic modeling;
D O I
10.1007/978-3-319-68765-0_5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the context of Web A/B testing, dynamic assignment of traffic aims to promote the best variation (A or B) as quickly as possible. However, dynamic assignment is difficult to use when the difference between A and B affects the visitor differently according to his/her personal characteristics and his/her history (number of visits, navigation on the website ... ). In this paper, we propose a dynamic assignment strategy based on a visitor segmentation determined automatically from the visitors navigation and characteristics.
引用
收藏
页码:52 / 62
页数:11
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