E-commerce platform commodity recommendation method and device, server and storage medium
A technology of e-commerce platform and recommendation method, which is applied in the direction of business, equipment, sales/lease transactions, etc., can solve the problems of improving sales performance that cannot be intelligentized, and achieve the effect of improving sales performance and increasing purchase rate
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Embodiment 1
[0049] figure 1 The flow diagram of a method for recommending products on an e-commerce platform provided in Embodiment 1 of the present invention is applicable to the scenario of recommending products for different users. The method can be executed by a device for recommending products on an e-commerce platform. It can be realized by means of software and / or hardware, and can be integrated on a server.
[0050] Such as figure 1 As shown, the method for recommending commodities on an e-commerce platform provided in Embodiment 1 of the present invention includes:
[0051] S110. Acquire user behavior data of the first user.
[0052] Wherein, the first user refers to a user who uses the e-commerce platform for shopping. In this embodiment, the first user does not refer to a specific user. User behavior data refers to the data of users using the e-commerce platform. Specifically, user behavior data includes but is not limited to one or more of the basic information of purchas...
Embodiment 2
[0081] figure 2 It is a schematic flowchart of a method for recommending commodities on an e-commerce platform provided in Embodiment 2 of the present invention. This embodiment is a further refinement of the above-mentioned technical solution, and is applicable to scenarios in which commodities are recommended for different users. The method can be executed by a device for recommending commodities on an e-commerce platform, and the device can be implemented in the form of software and / or hardware, and can be integrated on a server.
[0082] Such as figure 2 As shown, the method for recommending commodities on the e-commerce platform provided in Embodiment 2 of the present invention includes:
[0083] S210. Acquire user behavior data of the first user.
[0084]Wherein, the first user refers to a user who uses the e-commerce platform for shopping. In this embodiment, the first user does not refer to a specific user. User behavior data refers to the data of users using th...
Embodiment 3
[0102] image 3 It is a schematic structural diagram of a device for recommending products on an e-commerce platform provided by Embodiment 3 of the present invention. This embodiment is applicable to the scenario of recommending products for different users. The device can be implemented in the form of software and / or hardware, and can integrated on the server.
[0103] Such as image 3 As shown, the device for recommending products on an e-commerce platform provided in this embodiment may include an acquisition module 310, an image module 320, an algorithm training module 330, a recall module 340, a sorting module 350, and a display module 360, wherein:
[0104] An acquisition module 310, configured to acquire user behavior data of the first user;
[0105] A portrait module 320, configured to determine a user portrait of the first user based on the user behavior data;
[0106] The algorithm training module 330 is configured to train a preset recall model based on a first ...
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Abstract
Description
Claims
Application Information
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