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Product recommendation method and device based on data analysis and terminal equipment

A technology for data analysis and recommendation methods, applied in the field of big data, can solve problems such as poor user experience

Pending Publication Date: 2019-05-21
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the technical problem of poor user experience caused by existing product recommendation methods, the present invention provides a product recommendation method, device and terminal equipment based on data analysis

Method used

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  • Product recommendation method and device based on data analysis and terminal equipment
  • Product recommendation method and device based on data analysis and terminal equipment
  • Product recommendation method and device based on data analysis and terminal equipment

Examples

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Embodiment Construction

[0028] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0029] The implementation environment of the present invention may be a portable terminal device, such as a smart phone, a tablet computer, or a desktop computer. figure 1 It is a schematic diagram of an apparatus for recommending products based on data analysis according to an exemplary embodiment. The product recommendation device 100 based on data analysis may be the above-mentioned portable ter...

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Abstract

The invention relates to the technical field of big data, and discloses a product recommendation method and device based on data analysis and terminal equipment. The method comprises the following steps of: detecting a product recommendation request input by a user; obtaining a first product list according to the indication of the product recommendation request, and determining a second product list from the general service scene logic by analyzing the historical data of the user, removing the products belonging to the second product list in the first product list from the first product list to obtain a third product list, and performing recommendation processing on the products in the third product list. By implementing the method, the number of recommended products can be reduced on thebasis of ensuring the optionality of the recommended products, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to a product recommendation method, device and terminal equipment based on data analysis. Background technique [0002] Most online shopping platforms have a product recommendation function, which can provide users with recommended products that meet the filter conditions according to the filter conditions input by the user. [0003] However, in practice, it has been found that due to the large number of products on the online shopping platform, the number of recommended products provided to users based on the filtering conditions is also large, resulting in a long time for users to choose their favorite products from the recommended products, which affects user experience. Contents of the invention [0004] In order to solve the technical problem of poor user experience caused by existing product recommendation methods, the present invention provides a product recommenda...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/06
Inventor 乐志能
Owner PING AN TECH (SHENZHEN) CO LTD
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