Intelligent coupon delivery method based on reinforcement learning

A technology of reinforcement learning and coupons, applied in neural learning methods, biological neural network models, marketing, etc., can solve the problem that the recommendation system cannot solve the sequence recommendation and other problems, and achieve the effect of improving the push accuracy

Pending Publication Date: 2020-02-04
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a coupon intelligent delivery method based on reinforcement learning, which solves the problem that the traditional coupon delivery method is a static recommendation method and the traditional recommendation system cannot solve the sequence recommendation problem

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  • Intelligent coupon delivery method based on reinforcement learning
  • Intelligent coupon delivery method based on reinforcement learning
  • Intelligent coupon delivery method based on reinforcement learning

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Embodiment

[0028] The present invention provides a coupon intelligent delivery method based on reinforcement learning. The present invention adopts sql+python+tensorflow to realize, sql is a database language, and the method is to solve the problem of sequence decision-making. The present invention adopts neural network as the main non-linear simulation Combiner, the input is user characteristics, the output is the value (Qvalue) of various face value coupons, select the coupon with the largest value, send it to the user through the coupon issuing system, and remind the user to consume by SMS reminder, and then Collect user behavior feedback during the validity period of the coupon, generate a state transition, put the state transition into the neural network for training, and achieve algorithm convergence through a period of training, fix the policy network as the recommendation function, and make recommendations. Its implementation method is as Figure 1-Figure 2 Shown: including the f...

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Abstract

The invention provides an intelligent discount coupon delivery method based on reinforcement learning. The method solves the problem of sequence decision of traditional discount coupon delivery, and the traditional discount coupon delivery method is a static recommendation method. According to the invention, a neural network is used as a main nonlinear fitting device, inputs user features, and outputs values of various face value coupons. A coupon with the highest value is selected and sent to the user through a coupon issuing system. A short message reminding mode is adopted to remind a user to consume, and then user behavior feedback is collected to generate state transition and put the transition \ into a neural network for training. Algorithm convergence is achieved through a periodof training, the strategy network is fixed as a recommendation function, and recommendation. Is performed Through design, the coupon pushing precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent marketing, and in particular relates to an intelligent delivery method for coupons based on reinforcement learning. Background technique [0002] The smart delivery coupon system encourages users to use the coupons to spend at designated places through the delivery of coupons, which has achieved the purpose of maximizing the benefits of the mall. Distributing coupons requires cost. Each coupon is purchased by the merchant. If the coupon is used, a discount will be generated, that is, the money paid by the merchant for the coupon. If it is not used, no cost will be incurred. Precise delivery of coupons is required to drive more consumers to designated locations with the least cost. The smart delivery coupon system is essentially a personalized recommendation system. The recommendation system recommends products that the user may be interested in based on user behavior and product characterist...

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Application Information

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IPC IPC(8): G06Q30/02G06N3/08G06N3/04G06F16/215
CPCG06Q30/0207G06N3/08G06F16/215G06N3/045
Inventor 郭宏亮杨其锦何闵
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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