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Method and device for constructing cross-domain migration depth network

A deep network and cross-domain technology, applied in the computer field, can solve problems such as data sparseness, cold start, and inability to analyze and mine user behavior data, and achieve the effect of overcoming cold start, strengthening product preference, and accurate personalized product recommendation

Active Publication Date: 2018-01-19
TRANSWARP INFORMATION TECH SHANGHAI
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AI Technical Summary

Problems solved by technology

[0005] One purpose of this application is to provide a method and device for creating a deep network for cross-domain migration, which solves the problem that in the prior art, only products in one field can be recommended, and the behavior data of users in other fields cannot be analyzed and mined, and The problem of data sparsity and cold start

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  • Method and device for constructing cross-domain migration depth network
  • Method and device for constructing cross-domain migration depth network
  • Method and device for constructing cross-domain migration depth network

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Embodiment Construction

[0082] The application will be described in further detail below in conjunction with the accompanying drawings.

[0083] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0084] Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and / or nonvolatile memory such as read only memory (ROM) or flash RAM. Memory is an example of computer readable media.

[0085] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random acce...

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Abstract

The invention aims at providing a method and device for constructing a cross-domain migration depth network. The method comprises the following steps: obtaining sample data of a user within one or more product fields, wherein the sample data comprises personal information of the user, product information and historical interaction information of the user and the product; performing data processingon the sample data to obtain characteristic data, and constructing a training data set according to the characteristic data; constructing a relation layer of the cross-domain migration depth network,wherein the relation layer comprises an input layer, an embedded layer, a hidden layer and an output layer; based on the constructed relation layer, training the cross-domain migration depth networkaccording to the training data set to obtain a trained cross-domain migration depth network; and the behavior data of the user on different field products can be analyzed and mined, thereby overcomingthe problem of data sparsity and cold boot and obtaining more comprehensive user preference.

Description

technical field [0001] The present application relates to the field of computers, and in particular to a method and device for creating a deep network for cross-domain migration. Background technique [0002] Personalized recommendation technology, as an effective way to solve the information overload problem brought about by the era of information explosion, has become an indispensable technology in the Internet era. It can mine customers' opinions on products by analyzing customer information data and customer behavior data. preferences and recommend products to customers that best meet their preferences. The current recommendation technology has been widely used in various Internet service websites including e-commerce, news portals, multimedia and so on. In recent years, with the increasing abundance of financial products in the financial industry and the improvement of financial informatization, personalized recommendation technology has also begun to be applied to the...

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Application Information

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IPC IPC(8): G06F17/30G06Q30/06G06F17/27
Inventor 程大伟杨芳洲
Owner TRANSWARP INFORMATION TECH SHANGHAI
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