Model parameter adjustment method and device, electronic device and storage medium
A technology of model parameters and adjustment methods, applied in digital data processing, character and pattern recognition, natural language data processing, etc., can solve the problems of inaccurate social information recommendation, poor generalization ability of recommendation models, etc., and achieve rich forms of expression , Improving the generalization ability and the effect of feature extraction ability enhancement
Pending Publication Date: 2021-12-10
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
Because only the social information is mechanically input into the recommendation model during training, there may be a problem that the social information recommendation is not accurate enough when using the trained recommendation model to recommend social information for users
In other words, the generalization ability of the recommendation model is poor
Method used
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[0029] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0030] Each will be described in detail below.
[0031] The terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited ...
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The invention relates to intelligent decision making, and discloses a model parameter adjustment method and device, an electronic device and a storage medium. The method comprises the steps of obtaining the first social information, the second social information and the third social information, wherein the first social information and the second social information belong to the same category, and the first social information and the third social information belong to different categories; separately coding the first social information, the second social information and the third social information to obtain a first feature vector, a second feature vector and a third feature vector; determining the distance between the first feature vector and the second feature vector to obtain a first distance; determining the distance between the first feature vector and the third feature vector to obtain a second distance; determining a loss function according to a difference value between the first distance and the second distance; and adjusting model parameters of a recommendation model according to the loss function so as to train the recommendation model. By implementing the embodiment of the invention, the generalization ability of the recommendation model is improved.
Description
technical field [0001] The present application relates to the field of artificial intelligence, and in particular to a model parameter adjustment method, device, electronic equipment and storage medium. Background technique [0002] In today's society, social behavior has almost completely revolved around the Internet, such as blog posts, social status, hot comments and other social information flows are often generated from a large number of social events. Generally speaking, this social information flow has the characteristics of timing, large quantity, fast update, and high complexity. However, at the current stage, social information is often used for training the recommendation model, and the trained recommendation model is used to recommend social information for users. Because only the social information is mechanically input into the recommendation model during training, there may be a problem that the social information recommendation is not accurate enough when us...
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IPC IPC(8): G06F16/9536G06F40/284G06K9/62
CPCG06F16/9536G06F40/284G06F18/22G06F18/24
Inventor 李雷来王健宗瞿晓阳
Owner PING AN TECH (SHENZHEN) CO LTD