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Big data analysis-based commodity pushing method and apparatus

A big data and product technology, applied in the field of product push based on big data analysis, can solve the problems of low accuracy of push information, no personalized customization of personal information, etc., to reduce the time for selecting products, improve user experience, and ensure stickiness degree of effect

Inactive Publication Date: 2017-07-21
广州茶途网络科技有限公司
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] However, the existing commodity push methods generally simply push by obtaining the user’s daily browsing records or purchase history, without personalized customization for the specificity of the product itself and the user’s personal information, making the accuracy of the push information low

Method used

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  • Big data analysis-based commodity pushing method and apparatus
  • Big data analysis-based commodity pushing method and apparatus
  • Big data analysis-based commodity pushing method and apparatus

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Embodiment Construction

[0091] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, wherein the schematic embodiments and descriptions are only used to explain the present invention, but are not intended to limit the present invention.

[0092] Such as figure 1 As shown, the present invention provides a method for pushing commodities based on big data analysis, including:

[0093] S110: Obtain the first region information of the user;

[0094] Specifically, in an embodiment of the present invention, the first regional information includes at least one of IP address, delivery address, and GPS positioning information.

[0095] It can be understood that after obtaining the user's first region information, the background server can divide the user's first region information into administrative regions according to different preset precisions according to the different sensitivity of the product to the region, for example, you can ...

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Abstract

The invention provides a big data analysis-based commodity pushing method. The method comprises the steps of obtaining first regional information of a user; obtaining a first pushing identifier according to the first regional information; obtaining commodity information containing the first pushing identifier, and marking the commodity information as first commodity information; and pushing the first commodity information to the user. The invention furthermore provides a big data analysis-based commodity pushing apparatus. The apparatus comprises a first user information obtaining module, a first identifier obtaining module, a first commodity obtaining module and a first pushing module. According to the method and the apparatus provided by the invention, personalized customization pushing can be performed in combination with characteristics of commodities and user preferences, so that the accuracy of the pushed information is improved and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of Internet data processing, in particular to a commodity push method based on big data analysis. Background technique [0002] With the continuous development of science and technology, the acceleration of social informatization, and the continuous improvement of e-commerce trading platforms, more and more people obtain the commodities they need through online shopping. The types of commodities can be related to people's daily life. It provides great convenience for people's life in all aspects. [0003] Due to the wide variety of products on various e-commerce platforms, users often need to spend a lot of time to select and find the products they need when shopping. Therefore, in order to ensure user experience, various merchants provide personalized push services for users. . [0004] However, the existing product push methods generally simply push by obtaining the user's daily browsing records or purch...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02H04L29/08
CPCG06F16/9535G06F16/9537G06Q30/0201H04L67/52H04L67/55
Inventor 申灿
Owner 广州茶途网络科技有限公司
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