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Game theoretic approach of a novel decision policy for customers based on big data

机译：基于大数据的新型客户决策策略的博弈论方法

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摘要

In recent days, big data based analysis in hotel industry become popular. Merchants are attracting clients using the accurate analysis of historic data and predicting the behavior of possible clients to perform proper marketing strategy. To study the principle of the game between clients and merchants, in this work, we propose a novel two-stage game theoretic approach of decision policy for clients when choosing the suitable hotel to stay among many candidates, the merchants will provide a non-cooperative game strategy to attract the attention of potential clients. Analysis of the non-cooperative game method based on big data has been given. Simulation results indicate that, by using our proposed novel method, the average price for clients to choose a satisfied hotel is reduced and the successful rate of stay is increased for merchants, which will bring the expected income to a higher level because of the sticky phenomena of users.
机译：近年来，基于大数据的分析在酒店行业变得越来越流行。商家通过对历史数据的准确分析并预测可能的客户的行为来吸引客户，以执行适当的营销策略。为了研究客户与商人之间的博弈原理，在这项工作中，我们提出了一种新颖的两阶段博弈理论方法，用于在选择合适的酒店以供众多候选人入住时为客户提供决策策略，商人将提供一种非合作的方式。游戏策略吸引潜在客户的注意力。分析了基于大数据的非合作博弈方法。仿真结果表明，采用我们提出的新颖方法，降低了客户选择满意酒店的平均价格，提高了商户的成功停留率，这由于粘滞现象将使预期收入更高。的用户。

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