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User depth portrait method and device

A user and portrait technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of labels easily leaking data information, weak data expression ability, etc., to improve reusability, improve data security, The effect of improved positioning accuracy

Inactive Publication Date: 2018-11-13
北京顶象技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the embodiments of the present invention is to provide a user depth portrait method and device to solve the above-mentioned problems in the prior art that the data expression ability of the user portrait is weak and the label is easy to leak data information

Method used

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  • User depth portrait method and device

Examples

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no. 1 example

[0027] According to the applicant's research, it is found that when user analysis is performed on user data with an excessively large amount of data, user portraits are usually selected to analyze user data. User portrait is a tagged user model abstracted based on information such as the user's social attributes, living habits, and consumption behavior. The core work of constructing user portraits is to attach "labels" to users, and "labels" are highly refined feature identifications obtained through the analysis of user information. For example, if a user often buys some toys, the e-commerce website can label the toy as "has a child" according to the purchase situation of the toy, and can even determine the approximate age of the child and label it with "has a child aged 5-10". A more specific label such as "children", and after all these labels are unified, it becomes the user portrait of the user. Therefore, it can also be said that the user portrait is to judge what kind o...

no. 2 example

[0044] In order to cooperate with the user depth portrait method provided in the first embodiment of the present invention, the second embodiment of the present invention further provides a user depth portrait apparatus 100 .

[0045] Please refer to image 3 , image 3 A block diagram of a user depth portrait device provided by the second embodiment of the present invention.

[0046] The user depth portrait device 100 includes a raw data processing module 110 , a data abstraction module 120 , a data representation model building module 130 and a portrait acquisition module 140 .

[0047] The original data processing module 110 is configured to acquire the user's original data and determine the data type of the original data.

[0048] The data abstraction module 120 is configured to perform abstract transformation processing on the original data according to the data type to obtain abstract data.

[0049] The data representation model building module 130 is configured to de...

no. 3 example

[0056] In order to realize the above step counting method, the third embodiment of the present invention provides an electronic device 200 . Please refer to Figure 4 , Figure 4 It is a block diagram of an electronic device provided by the third embodiment of the present invention.

[0057] The electronic device 200 may include a user depth portrait device 100 , a memory 201 , a storage controller 202 , a processor 203 , a peripheral interface 204 , an input and output unit 205 , an audio unit 206 , and a display unit 207 .

[0058] The memory 201, storage controller 202, processor 203, peripheral interface 204, input and output unit 205, audio unit 206, and display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The user depth portrait device 100 includes at least one software...

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Abstract

The invention provides a user depth portrait method and device, and relates to the technical field of big data user portraits. The user depth portrait method comprises the following steps: acquiring original data of a user, and determining the data type of the original data; performing abstract conversion processing on the original data according to the data type to obtain abstract data; determining a representation learning neural network corresponding to the type of the abstract data, using the representation learning neural network to model the abstract data, and obtaining a data representation model; and designing and training an objective function of the representation learning model according to the data representation model, and performing depth portrait on the user by using the objective function to obtain a user depth portrait. The user depth portrait method provided by the invention maps user data to a multi-dimensional space for modeling and user depth portrait, more user data are reserved, and meanwhile, privacy data are shielded, so that the user depth portrait method is more suitable for complex data mining and multi-service scenes.

Description

technical field [0001] The present invention relates to the technical field of big data user portraits, in particular to a method and device for deep portraits of users. Background technique [0002] With the rapid development and popularization of the Internet, more and more people's behaviors are informatized and digitized. Big data technology is an information processing technology that targets all data resources of any system and discovers the correlation relationship between data. At present, it has been widely used in Internet process optimization, targeted news and advertisement push, user personalized service and improvement, etc., and has become a powerful background support behind network services. Processing the data of many users through big data processing can obtain the group behavior trend of users, while manual screening and analysis of user data will consume a lot of manpower and material resources, and the operating cost is extremely high. On the other hand...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06Q30/0201
Inventor 黄亚军
Owner 北京顶象技术有限公司
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