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Personalized recommending method and device based on user portrait

A recommendation method and user technology, applied in data processing applications, special data processing applications, marketing, etc., can solve the problem of low recommendation accuracy, achieve the effect of solving cold start problems and improving accuracy

Inactive Publication Date: 2016-08-03
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] Based on this, in order to solve the above-mentioned problem of low recommendation accuracy, a personalized recommendation method and device based on user portraits are proposed

Method used

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  • Personalized recommending method and device based on user portrait
  • Personalized recommending method and device based on user portrait
  • Personalized recommending method and device based on user portrait

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] Such as figure 1 As shown, in one embodiment, a personalized recommendation method based on user portrait is proposed, the method includes the following steps:

[0025] Step 102, acquire user's tag information.

[0026] Specifically, the tag information of a user may be an inherent attribute of the user, may also be a dynamic attribute of the user, or may be a combination of the two, and different tag information may be obtained according to different business scenarios. Among them, the inherent attributes include attributes such as the user's age, gender, and occupation, and the dynamic a...

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Abstract

The invention provides a personalized recommendation method based on a user portrait. The method comprises the following steps: acquiring label information of a user, and according to the label information, establishing the user portrait, and acquiring the initial state of the user; according to the user portrait and the initial state, determining a one-step transition matrix of the user, and calculating an interest list of the user according to the one-step transition matrix; performing recommendation according to the interest list. The user portrait and the initial state are used as basis at the same time, so that personalized recommendation is performed for each user, the recommendation accuracy rate is increased, and besides, the problem of cold start by a new user is solved. In addition, the invention further provides a personalized recommendation device based on the user portrait.

Description

technical field [0001] The present invention relates to the field of computer processing, in particular to a method and device for personalized recommendation based on user portraits. Background technique [0002] With the development of the Internet, people's lives are more and more closely linked with the Internet. In this fast-paced era, users hope to quickly find the products they need through the Internet, but massive product data is continuously generated on the Internet every day, which makes it difficult for Internet users to quickly find the information they need or are interested in . In order to allow users to quickly find the products they are interested in, the traditional collaborative filtering technology recommends based on the user's historical purchases. However, for new users, they often face cold start problems, and it is difficult to get accurate recommendations. The user's interest may be one-time. If the recommendation is only based on historical pur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0271G06Q30/00
Inventor 罗傲雪
Owner PING AN TECH (SHENZHEN) CO LTD
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