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Commodity recommendation method and device

A product recommendation and product technology, applied in the field of online shopping, can solve the problem of inaccurate product push

Inactive Publication Date: 2021-01-15
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a commodity recommendation method and device to at least solve the technical problem of inaccurate commodity push

Method used

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  • Commodity recommendation method and device
  • Commodity recommendation method and device
  • Commodity recommendation method and device

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Embodiment Construction

[0031] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circums...

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Abstract

The invention discloses a commodity recommendation method and device. The method comprises the steps of acquiring target data characteristics of a target commodity browsed by a target account in a client, wherein the target data characteristics comprise behavior characteristics of the target account, account characteristics of the target account, commodity characteristics of the target commodity and order characteristics of the target commodity; inputting the target data characteristics into a first neural network model; inputting the target data features and the time characteristics into a second neural network model; and under the condition that the first probability is in a first interval and the second probability is in a second interval, pushing a commodity list to the target account,with the commodity list including commodities associated with the target commodity. According to the invention, the technical problem of inaccurate commodity pushing is solved.

Description

technical field [0001] The present invention relates to the field of online shopping, in particular to a commodity recommendation method and device. Background technique [0002] In the prior art, in the process of online shopping, it is usually possible to push commodities to the user. [0003] However, in the prior art, when pushing commodities to the user, most of the pushed commodities are commodities matched according to the user's search records. For example, after searching for "bicycle" in the user's history, when the user searches for "iron pot", products related to "bicycle" will be pushed. [0004] The above push method results in low accuracy of the commodities pushed to the user during the online shopping process of the user. [0005] For the above problems, no effective solution has been proposed yet. Contents of the invention [0006] Embodiments of the present invention provide a product recommendation method and device to at least solve the technical pr...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06Q30/0222G06Q30/0625G06Q30/0631
Inventor 温珂伟黄衍宁
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD