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Online sales recommendation system and method based on interest points

A recommendation system and recommendation method technology, applied in the field of online sales recommendation system based on points of interest, can solve the problems of single recommendation method and insufficient pertinence, achieve more specific pertinence and improve the effect of online shopping experience

Pending Publication Date: 2022-03-01
河南汇银丰投资管理有限公司
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AI Technical Summary

Problems solved by technology

[0003] In the prior art, commodity sales recommendations are made to consumers based on their online and offline shopping information, but the recommendation methods in the prior art are often relatively simple, and the pertinence of consumer personal commodity sales recommendations is not enough powerful

Method used

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  • Online sales recommendation system and method based on interest points

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] see figure 1, the present invention provides a technical solution: an online sales recommendation system based on points of interest, the online sales recommendation system includes a user database, a store detection module, a face comparison module, an image analysis module and a push judgment module, the user The database is used to store the user's account identification, the user's authentication image, the interest history database and the shopping...

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Abstract

The invention discloses an online sales recommendation system and method based on interest points, and the method comprises the steps: building a user database which is used for storing the account identification of a user, the authentication image of the user, an interest historical database and a shopping database, and when an offline shop detects that a certain user enters, carrying out the verification of the user, comparing the face image of the user with authentication images in a user database, and if the similarity between a certain authentication image in the user database and the face image of the user is greater than a similarity threshold, setting the user as a tracking user; acquiring a video image of the tracking user from entering the offline store to leaving the offline store as an analysis image, and analyzing the analysis image; when a certain user logs in an online client, the identification type of the account identification of the user is obtained, and a recommendation mode is determined according to the identification type.

Description

technical field [0001] The invention relates to the technical field of online sales recommendation, in particular to an online sales recommendation system and method based on points of interest. Background technique [0002] With the development of Internet technology, e-commerce is also developing rapidly. More and more businesses adopt a combination of online and offline marketing methods, that is, a business model that combines online stores with offline physical stores. This model makes Consumers can experience it in person in offline physical stores, and can also make purchases in online stores, thereby improving the consumer experience of consumers. [0003] In the prior art, commodity sales recommendations are made to consumers based on their online and offline shopping information, but the recommendation methods in the prior art are often relatively simple, and the pertinence of consumer personal commodity sales recommendations is not enough powerful. Contents of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9537G06Q30/06G06V40/16
CPCG06F16/9535G06F16/9537G06Q30/0631
Inventor 林少立
Owner 河南汇银丰投资管理有限公司
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