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Deep reinforcement learning methods and apparatuses for referral marketing
Deep reinforcement learning methods and apparatuses for referral marketing
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机译:用于推荐营销的深增强学习方法和设备
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摘要
Embodiments of the present specification provide deep reinforcement learning methods and apparatuses for referral marketing. One method includes the following: obtaining state information of an execution environment of a deep reinforcement learning system, wherein the state information comprises user information of a current user of the deep reinforcement learning system; determining a marketing activity corresponding to the state information based on a marketing strategy, wherein the marketing activity comprises a combination of a marketing channel, marketing content, and a marketing time period; obtaining a reward score of the execution environment for the marketing activity; and updating the marketing strategy based on the reward score.
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