Information recommendation method, device, equipment and storage medium
A technology for information recommendation and recommendation information, applied in the Internet field, can solve the problem of low accuracy of model prediction results
Active Publication Date: 2021-05-28
脸萌有限公司
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Problems solved by technology
[0004] Aiming at the technical problem that the accuracy of prediction results of models in traditional technologies is not high, the present invention provides an information recommendation method, device, equipment and storage medium
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[0027] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for the purpose of A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes, and are not intended to limit the protection scope of the present disclosure.
[0028] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. Furthermore, method embodiments may include additional steps and / or omit performing the illustrated steps. The scope of the present discl...
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The invention discloses an information recommendation method, a device, equipment and a storage medium. The method comprises the following steps: acquiring user characteristics of a current user and information characteristics of each piece of to-be-recommended information; inputting the user features and all the information features into a preset recommendation model, target behavior vectors of the current user for all the to-be-recommended information are predicted, wherein the recommendation model comprises a plurality of dichotomy networks, and the dichotomy networks correspond to elements in the target behavior vectors one to one; for each target behavior vector, adding elements in the target behavior vector to obtain a corresponding target behavior frequency; and recommending information to the current user according to the number of target behaviors. According to the method, regression type prediction is effectively converted into dichotomy type prediction through the recommendation model, and dichotomy prediction results are mutually independent, so that the overall prediction performance of the model is effectively ensured, and the accuracy of information recommendation is improved.
Description
technical field [0001] Embodiments of the present invention relate to the field of the Internet, and in particular, to an information recommendation method, apparatus, device, and storage medium. Background technique [0002] With the continuous development of big data technology, all kinds of information have exploded. Through big data analysis, information can be pushed more accurately for users. Taking information as an advertisement as an example, a recommendation model can be used to predict the number of payments a user will make for an advertisement after seeing the advertisement. Therefore, training an accurate regression prediction model is crucial. [0003] Currently, it is common to use mean squared error as the target loss function to train regression-type predictive models. However, the model trained based on this loss function will tend to predict the average value of the overall sample data, resulting in a low accuracy of the model's prediction results. SU...
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IPC IPC(8): G06F16/9535G06F16/958G06F17/18
CPCG06F16/9535G06F16/958G06F17/18Y02D10/00
Inventor 熊泓宇刘喆冀翔宇刘宾吴中原刘臻邱果陈天赐魏启帆
Owner 脸萌有限公司