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Product recommendation method and system

A recommendation method and product technology, applied in the field of information processing, can solve problems such as damaging the interests of e-commerce platforms, inappropriate guidance of users, and reducing the purpose of users to purchase products, so as to improve traffic utilization, reduce ineffective investment, and improve The effect of start-up efficiency

Active Publication Date: 2020-06-02
ALIBABA GRP HLDG LTD
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Problems solved by technology

However, this method may damage the interests of the e-commerce platform. Not all users prefer new products, and not all new products are high-quality products. Therefore, mandatory promotion may lead to inappropriate guidance for users and reduce user purchases. product purpose

Method used

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  • Product recommendation method and system
  • Product recommendation method and system

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0024] In order to make it easier for those skilled in the art to understand the technical solutions provided by the embodiments of the present application, the technical environment in which the technical solutions are implemented is first described below.

[0025] Based on the above technical environment, this application provides a pro...

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Abstract

The embodiment of the invention discloses a product recommendation method and system. The method comprises the following steps: recommending new products to a plurality of users, wherein the new products comprise products of which the online time does not exceed a preset time period; acquiring a plurality of user operation behaviors associated with the new product, the user operation behaviors including an operation behavior of acquiring information of the new product by a user through a search term, and / or an operation behavior implemented by the user based on the information; and performinglearning processing on the plurality of user operation behaviors by adopting a reinforcement learning method to obtain a recommendation strategy for the new product. By utilizing the embodiments of the invention, the starting efficiency of a new product can be improved, the flow utilization rate of an e-commerce platform can be improved, and invalid investment can be reduced.

Description

technical field [0001] The present application relates to the technical field of information processing, and in particular to a product recommendation method and system. Background technique [0002] In recent years, product recommendation technology has been widely used in various shopping applications (Application, APP). Product recommendation technology can recommend more valuable products to users, so as to realize the guiding effect on users and enhance the purpose of users to purchase sex. At present, product recommendations on e-commerce platforms are often based on statistical data of users' historical operation behavior on products. However, for new products on the e-commerce platform, due to the lack of user operation behavior, there is also a lack of various statistical data, which makes it difficult for new products to obtain exposure opportunities on the e-commerce platform. [0003] However, new products still need to be displayed on the e-commerce platform a...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02G06F16/9535
CPCG06Q30/0631G06Q30/0239G06F16/9535Y02P90/30
Inventor 笪庆潘春香曾安祥
Owner ALIBABA GRP HLDG LTD
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