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Product recommendation method and system

A recommendation system and product technology, applied in the field of information processing, can solve problems such as the continuity of user search products and the discreteness of the realization process, and achieve the effects of avoiding calculation problems, improving accuracy, and improving efficiency

Active Publication Date: 2022-05-13
ALIBABA GRP HLDG LTD
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  • Abstract
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  • Claims
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Problems solved by technology

However, the implementation process of the above method is discrete, each time a product is sorted, the historical behavior of the user is used once
Therefore, the above method does not take into account the continuity of the user's search for products. The user's final choice of whether to purchase a product is not determined by a certain product ranking, but by continuous product search and continuous user feedback.

Method used

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

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Embodiment Construction

[0024] 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.

[0025] 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.

[0026] The significance of product recommendation technology is that the product...

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Abstract

The embodiment of the present application discloses a product recommendation method and system. The method includes: receiving and responding to a product recommendation request, obtaining user behavior feedback data in historical product recommendation strategies; based on the behavior feedback data, using a strategy approximation algorithm to calculate and obtain a product recommendation strategy corresponding to the product recommendation request . By using the method and system embodiments of the present application, the accuracy and recommendation efficiency of product recommendation can be improved.

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). The user's guiding role enhances the purpose of the user's purchase. Nowadays, the number of users and the number of products of many shopping applications have reached the order of hundreds of millions, and the behavioral characteristics of users and product preferences are also rich and diverse. Therefore, it is a very challenging technical problem for product recommendation technology to select the most valuable products for users from a large number of products based on complex user behavior characteristics. [0003] Product recommendation technology is often reflected in the ranking of products. For example, products with higher product recommendati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06F16/9535
CPCG06F16/9535G06Q30/0631
Inventor 胡裕靖曾安祥笪庆俞凌
Owner ALIBABA GRP HLDG LTD
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