Preference prediction method and device and computer equipment

A prediction method and preference technology, applied in the field of computer technology and machine learning, can solve the problem of high cost

Active Publication Date: 2020-06-16
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Based on this, it is necessary to provide a preference prediction method, device, computer equipment and storage medium for the problem of relatively high cost of traditional methods

Method used

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  • Preference prediction method and device and computer equipment
  • Preference prediction method and device and computer equipment
  • Preference prediction method and device and computer equipment

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Embodiment Construction

[0077] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further 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.

[0078] figure 1 is an application scenario diagram of the preference prediction method in an embodiment. refer to figure 1 , the application scenario includes a network-connected server 110 and a terminal 120. The terminal 120 is a desktop computer or a mobile terminal, and the mobile terminal may include at least one of a mobile phone, a tablet computer, a notebook computer, a personal digital assistant, a wearable device, and the like. The server 110 can be implemented by an independent server or a server cluster composed of multiple physical servers. It can be understood that in other embodi...

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Abstract

The invention relates to a preference prediction method and device and computer equipment. The method comprises the steps of obtaining a network graph comprising combination nodes and edges, wherein the combination node is used for representing the combination of a user and an object, a part of combination nodes in the combination nodes carry the preference degree of the user in the represented combination to the object in the combination; dividing the network graph according to the combination similarity between the combination nodes of the building edges in the network graph to obtain at least one sub-network, wherein the same sub-network comprises combined nodes clustered into one class; and selecting a target preference degree corresponding to the combined node in the sub-network fromthe preference degrees carried by the combined node in the same sub-network. According to the scheme, the cost can be saved.

Description

technical field [0001] The present invention relates to the fields of computer technology and machine learning technology, in particular to a preference prediction method, device and computer equipment. Background technique [0002] With the rapid development of science and technology, machine learning technology is getting more and more attention. Machine learning technology is being applied in more and more scenarios, for example, predicting user preferences through machine learning technology. [0003] In the traditional method, when predicting user preferences through machine learning technology, it is necessary to prepare a large number of sample data with real preference scores, conduct supervised machine learning training, and generate machine learning models. Then, based on the machine learning model, user preferences are predicted. In this way, a large number of preference scores are used as sample data, which requires a lot of cost. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/10G06K9/62
CPCG06N20/10G06F18/2321G06F18/22
Inventor 刘志煌
Owner TENCENT TECH (SHENZHEN) CO LTD
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