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Item recommendation method, device and learning system for protecting user privacy

A technology for user privacy and learning systems, which is applied in the field of equipment and learning systems, project recommendation methods for protecting user privacy, and can solve problems such as data security and data islands

Active Publication Date: 2022-02-18
ALIBABA DAMO (HANGZHOU) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current recommendation model will face the problems of data islands and data security during the training process

Method used

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  • Item recommendation method, device and learning system for protecting user privacy
  • Item recommendation method, device and learning system for protecting user privacy
  • Item recommendation method, device and learning system for protecting user privacy

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Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] In addition, the sequence of steps in the following method embodiments is only an example, rather than a strict limitation.

[0038] The Matrix Factorization (MF) problem is a basic problem in the recommendation system. As the name implies, matrix factorization is to decompose a matrix into two or more matrices, so that the decomposed matri...

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Abstract

An embodiment of the present invention provides an item recommendation method, device, and learning system that protect user privacy. The method includes: any data device acquires a locally collected scoring matrix, and the scoring matrix is ​​used to describe the ratings of multiple users on multiple items. , the scoring matrices collected by multiple data devices have the same set of users and different sets of items. The item expression matrix and user expression matrix corresponding to the local training scoring matrix, and the first user expression matrix obtained by local training is sent to the server, so that the server aggregates the user expression matrices uploaded by multiple data devices and aggregates the obtained The second user expression matrix is ​​sent to multiple data devices. If the training cut-off condition is satisfied, the preference degree of multiple users to multiple items is predicted according to the item expression matrix obtained from local training and the second user expression matrix, so as to recommend items for multiple users according to the preference degree.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an item recommendation method, device and learning system for protecting user privacy. Background technique [0002] With the continuous development of technologies such as the Internet of Things and mobile Internet, the Internet is full of various information, which poses challenges for users to search for effective information. For example, taking the e-commerce scenario as an example, it takes a lot of time for users to search for products that meet their expectations among a large number of products. Based on this, various recommendation models are designed to implement targeted recommendations for users. [0003] The current recommendation model will face the problems of data islands and data security during the training process. The industry continues to face important technical issues, that is, it must first protect users' private data from being misused ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06K9/62G06Q30/06
CPCG06F16/9535G06Q30/0631G06F18/214G06N3/084G06N3/098G06N20/00
Inventor 周靖人丁博麟李子韬
Owner ALIBABA DAMO (HANGZHOU) TECH CO LTD
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