A method and device for model training and information recommendation
A technology for model training and recommendation, applied in the field of machine learning, which can solve problems such as inaccuracy
Active Publication Date: 2022-02-01
北京三快网络科技有限公司 +1
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Problems solved by technology
In the existing technology, due to the insufficient number of training samples, the business platform can directly use the machine learning model trained in the above-mentioned first recommendation method for information recommendation, but this method is relatively inaccurate
Method used
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[0064] In order to make the purpose, technical solution and advantages of this specification clearer, the technical solution of this specification will be clearly and completely described below in conjunction with specific embodiments of this specification and corresponding drawings. Apparently, the described embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this specification.
[0065] The technical solutions provided by each embodiment of this specification will be described in detail below in conjunction with the accompanying drawings.
[0066] figure 1 It is a schematic flowchart of a method for model training in this specification, specifically including the following steps:
[0067] S101: Obtain the historical service records of the user.
[0068] S102: Acq...
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This specification discloses a method and device for model training and information recommendation, which obtains the user's historical business records, and obtains the first sample data according to the historical business records, wherein the first sample data includes the sample information to be recommended , the first label information and the second label information. Then, input the sample information to be recommended into the first recommendation model to be trained to obtain the first recommendation degree corresponding to the first recommendation method, the second recommendation degree corresponding to the second recommendation method, and the information of the sample to be recommended and the specified The first degree of combination between recommended information. Finally, the first recommendation model can be trained according to the determined first degree of recommendation, first label information, second degree of recommendation, second label information, and first degree of combination. When it is necessary to recommend information to the user according to the second recommendation method, the first recommendation model can be used to recommend information to the user, so that information can be recommended to the user accurately.
Description
technical field [0001] This specification relates to the field of machine learning technology, and in particular to a method and device for model training and information recommendation. Background technique [0002] With the continuous development of information technology, users can perform various businesses online, and various business platforms have emerged accordingly. In order to enable users to perform business more conveniently and quickly, the business platform is based on The user's preference and information recommendation to the user. [0003] In practical applications, usually, the service platform can directly recommend some information to the user according to the user's preference when the user enters the service platform. Here, this recommendation method is called the first recommendation method. For example, in a food delivery platform, merchants or dishes from merchants can be directly recommended to users. For another example, on a shopping platform, p...
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IPC IPC(8): G06F16/2457G06K9/62
CPCG06F16/2457G06F18/2415G06F18/214
Inventor 李爽谢乾龙林龙刘一飞王兴星王栋
Owner 北京三快网络科技有限公司