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		题名	作者	年代	出处	被引量
	1	A sampling method based on forecasting and combinatorial optimization for high performance A/B testing显示文摘1 Introduction A/B testing[1]is a popular statistical method for many applications,especially,widely used by Internet companies for user experience research.The sampling algorithm is an important part of A/B testing and has a critical impact on the performance of A/B testing.There are two challenges to achieving high performance in A/B testing.(1)The features of individuals being sampled change over time and the sampling results used for evaluation are valid only for a period of time.(2)The sampling methods in A/B testing require determining whether the two groups of samples have an identical distribution while Simple Random Sampling(SRS)has a different purpose,which only concerns whether the sample distribution is identical to the population.	Fan LI Tiancheng ZHANG Shengjia CUI Hengyu LIU Zhibin REN Donglin DI Xiao WANG Po ZHANG Ge YU	2023	Frontiers of Computer Science2023，17，6：	0

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