Commodity recommendation method and device

A product recommendation and product technology, applied in the network field, can solve problems such as easy to get lost

Inactive Publication Date: 2017-02-01
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, because different suppliers can carry out network business on the Internet, that is, different suppliers can publish different or the same prod

Method used

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

Examples

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Embodiment Construction

[0063] Reference will now be made in detail to the 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 disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0064] Before explaining and describing the embodiments of the present disclosure in detail, the application scenarios of the embodiments of the present disclosure will be described first.

[0065] Figure 1A It is a schematic diagram of an implementation environment shown according to an exemplary embodiment. The implementation environment mainly includes a user terminal 110 and a se...

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Abstract

The invention relates to a commodity recommendation method and device, and belongs to the field of the network technology. The method comprises the following steps of on the basis of a plurality of first user amounts, determining a commodity recommendation list, wherein each first user amount is the amount of users who purchase first-category commodities and execute an appointed behavior for each second-category commodity in a plurality of second-category commodities in a preset time period, and the commodity recommendation list comprises N second-category marks; for each second category in N second categories, on the basis of the mark of the second category, determining the marks of the plurality of commodities which belong to the second category; on the basis of target user characteristic information and the commodity characteristic information of the plurality of commodities which belong to the second category, determining a plurality of recommended purchase probabilities through an appointed logistic regression model; and on the basis of the plurality of recommended purchase probabilities, recommending a target commodity in the plurality of commodities which belong to the second category to the target user. Therefore, different commodities are recommended to different users in a targeted way, and commodity recommendation efficiency is improved.

Description

technical field [0001] The present disclosure relates to the field of network technologies, and in particular to a product recommendation method and device. Background technique [0002] With the rapid development of network technology and e-commerce technology, network services are widely used. In the online business, usually the supplier publishes the commodity information to be sold on the website, and the user can purchase the commodity in the network based on the website and the commodity information. However, at present, because different suppliers can carry out network business on the Internet, that is, different suppliers can publish different or the same product information on different websites, so a large amount of data appears in the network business, so, resulting in Users tend to get confused when choosing products. [0003] For this reason, in order to solve the above-mentioned problems, that is, in the network business, in order to improve the user's purcha...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor 刘冀坤张丽杰刘华中
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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