User recommendation model training method and device, computer equipment and storage medium

A model training and user technology, applied in the field of machine learning, can solve problems such as low accuracy, no interactive behavior, data sparsity, etc., and achieve the effect of improving the accuracy of recommendation

Active Publication Date: 2019-06-18
深圳市珍爱捷云信息技术有限公司
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Problems solved by technology

[0004]However, this method of marriage and love recommendation based on collaborative filtering has the problem of data sparsity and cold start, that is, most users have no interactive behavior, and There is no connection. If it is

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  • User recommendation model training method and device, computer equipment and storage medium
  • User recommendation model training method and device, computer equipment and storage medium
  • User recommendation model training method and device, computer equipment and storage medium

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Embodiment Construction

[0033] In order to make the purpose, technical solutions, and advantages of this application clearer, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the application, and not used to limit the application.

[0034] In one embodiment, such as figure 1 As shown, a user recommendation model training method is provided, which includes the following steps:

[0035] Step 102: Obtain multiple user pairs from the database as training samples.

[0036] The user data of a specific application is stored in the database, and multiple users can be obtained from the database to form a user pair as a training sample of the recommendation model. For ease of description, a user who obtains a recommendation list through a recommendation page of a specific application may be referred to as an active party, and a user of the opposite sex r...

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Abstract

The invention relates to a user recommendation model training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of user pairsfrom a database as training samples; Determining a sample target value of each training sample and a target level of the sample target value according to the interaction type of the user pair; Extracting sample characteristics of the training samples to obtain corresponding sample characteristics; Inputting the sample characteristics into a recommendation model, wherein the recommendation model determines the sequence of each training sample through the sample characteristics; When the matching rate of the sequence of each training sample and the target level reaches the preset accuracy, the trained recommendation model is obtained, and through the recommendation model trained in this way, the passive party with the high matching degree can serve as the recommendation user of the active party, so that the recommendation accuracy is greatly improved.

Description

Technical field [0001] This application relates to the field of machine learning technology, and in particular to a training method, device, computer equipment and storage medium for a user recommendation model. Background technique [0002] With the development of computer technology, artificial intelligence technology has also entered a period of rapid development. Machine learning is one of the branches of artificial intelligence technology. Machine learning learns from a large amount of data, so that it can predict and classify the input data. On the Internet dating platform, user recommendations can also be achieved through machine learning. For example, you can recommend friends for newly registered users through machine learning to increase the interactivity and adhesion of new users. [0003] In traditional technology, the friend-making platform generally adopts a user recommendation method based on collaborative filtering, that is, calculating the similarity between two...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/9535
Inventor 蔡成加
Owner 深圳市珍爱捷云信息技术有限公司
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