Commodity recommendation method and device based on user portrait, equipment and storage medium

A product recommendation and user equipment technology, applied in the field of data analysis, can solve the problems of narrow range of recommended products, poor user experience, single type, etc., to achieve the effect of improving user experience, variety, and promoting product transactions

Pending Publication Date: 2019-05-03
ONE CONNECT SMART TECH CO LTD SHENZHEN
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Problems solved by technology

[0005] The main purpose of the present invention is to provide a product recommendation method, device, equipment and storage medium based on user portraits, aiming to solve the problem of homogenization of recommended pro

Method used

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  • Commodity recommendation method and device based on user portrait, equipment and storage medium
  • Commodity recommendation method and device based on user portrait, equipment and storage medium
  • Commodity recommendation method and device based on user portrait, equipment and storage medium

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no. 1 example

[0086] Based on the first embodiment above, in this embodiment, step S30 includes:

[0087] S30': Classify the user to be recommended according to the current feature vector through the hyperplane formula corresponding to each non-leaf node in the tree structure, and obtain the current classification result.

[0088] It should be noted that when the SVM algorithm classifies, it can usually only be divided into two categories, and the number of users involved in shopping websites is usually large. If users are only divided into two categories, the products to be recommended will not be accurate enough. To avoid this Problem, in this embodiment, the user to be recommended can be classified according to the current feature vector through the hyperplane formula corresponding to each non-leaf node in the tree structure, and the current classification result can be obtained. Therefore, a tree structure needs to be established first structure, when the support vector machine SVM mode...

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Abstract

The invention belongs to the technical field of data analysis, and discloses a commodity recommendation method and device based on a user portrait, equipment and a storage medium. According to the invention, the same or similar commodities are no longer recommended according to the purchase record of the user or the collected commodities; according to the method, the to-be-recommended commodity isdetermined according to the behavior characteristics of the other users belonging to the same type as the to-be-recommended user, so that the to-be-recommended commodity has more types and richer contents, the recommendation homogenization problem is avoided, and meanwhile, more potential interested commodities of the user can be explored, thereby promoting commodity transaction and improving theuser experience.

Description

technical field [0001] The present invention relates to the technical field of data analysis, in particular to a product recommendation method, device, equipment and storage medium based on user portraits. Background technique [0002] In order to allow users to know the products they may need, some shopping websites or shopping apps will recommend the same or similar products based on the user's purchase records or favorite products. [0003] However, the products recommended by the user's purchase records or favorite products usually have serious homogeneity problems, and the types are single, and the range of recommended products is relatively narrow. As a result, the recommended products rarely meet the actual needs of users. Poor experience. [0004] The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art. Contents of the invention [0005] The main p...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02G06K9/62
Inventor 刘顺
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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