Recommendation method and device, electronic equipment and readable storage medium
A recommendation method and storage medium technology, applied in the field of personalized recommendation, can solve the problems of low prediction accuracy and low recommendation accuracy.
Inactive Publication Date: 2020-07-28
BEIJING SANKUAI ONLINE TECH CO LTD
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[0004] After studying the above scheme, the inventor found that the prediction accuracy of the quality score of the image to be recommended by the above quality prediction model is low, which in turn leads to low accuracy of recommendation
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[0029] The technical solution in the present disclosure will be clearly and completely described below with reference to the drawings in the present disclosure. Apparently, the described embodiments are some of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.
[0030] The embodiments of the present disclosure can be applied to a background server, and the background server and the corresponding client constitute a complete personalized recommendation platform. Specifically, the user can operate on the client, and the client generates a data request according to the user's operation and sends it to the backend server, and the backend server is used to generate image data according to the data request, and return it to the client for display to the user.
[00...
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The invention provides a recommendation method and device, electronic equipment and a readable storage medium, and the method comprises: obtaining a training sample which comprises a sample image; inputting the sample image into a preset model to obtain a preset number of training scores corresponding to ordered positions; determining a sequence loss value according to a size relationship betweenthe training score corresponding to any ordered position and the training score corresponding to the adjacent ordered position and whether the size relationship conforms to a preset sequence of the ordered position and the adjacent ordered position; training the preset model according to the sequence loss value to obtain a quality prediction model; and predicting a quality score of a to-be-recommended image by adopting the quality prediction model so as to recommend the to-be-recommended image according to the quality score. The accuracy of the quality prediction model and the accuracy of recommendation can be improved.
Description
technical field [0001] The present disclosure relates to the technical field of personalized recommendation, and in particular to a recommendation method, device, electronic equipment and readable storage medium. Background technique [0002] In the field of personalized recommendation technology, an image is a common recommendation object, and the quality score of the image can be estimated and the image can be recommended according to the quality score of the image. [0003] In the prior art, a commonly used image recommendation method mainly includes: first, input the image to be recommended into a pre-trained quality prediction model to obtain a quality score of the image, the quality prediction model can be based on the feature information of the image and image quality and other information training, where the image quality can be the click-through rate of the image, etc.; then, recommend the image to be recommended with a higher quality score to the user. [0004] Af...
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IPC IPC(8): G06F16/535G06K9/62G06N3/04
CPCG06F16/535G06N3/045G06F18/214
Inventor 王文斌罗震
Owner BEIJING SANKUAI ONLINE TECH CO LTD