Data processing method and device and storage medium
A data processing and data technology, applied in the computer field, can solve the problems of single sample and low accuracy of recommendation system, and achieve the effect of improving accuracy
Pending Publication Date: 2022-04-08
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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Problems solved by technology
[0002] Due to the large scale of the product library, in order to meet the needs of recommending products to customers in real time, at present, the recommendation system is usually used to filter the products related to the user from the product library according to the attribute information of the user, and then recommend them to the user, but In the process of model training in the existing recommendation system, the accuracy of the trained recommendation system will be low due to the singleness of the sample.
Method used
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[0047] It should be understood that the specific embodiments described here are only used to explain the present application. It is not intended to limit the application.
[0048] This application is an improvement based on a recommended device, figure 1 A schematic diagram of an exemplary recommended device given in the embodiment of this application, such as figure 1As shown, the recommendation device includes three modules: a recall module, a rough ranking module and a fine ranking module.
[0049] The recall module is used to use different recall methods to find out the products related to the user from the product library, and return the recall results to the coarse sorting.
[0050] The rough sorting module is used to use the trained rough sorting click-through rate prediction model to predict the click-through rate of the recalled results, and sort the recalled results according to the predicted results, and then return the top-ranked preset number of products to the ...
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The embodiment of the invention provides a data processing method and device and a storage medium. The method comprises the steps that object attribute information, historical behavior data corresponding to the object attribute information and historical display data are extracted from historical log data; obtaining historical recommendation data corresponding to the object attribute information from a historical recommendation information base; searching first historical recommendation data which are the same as the historical display data from the historical recommendation data; obtaining second historical recommendation data according to the historical display data, the historical behavior data and the first historical recommendation data; training a preset recommendation model by using the second historical recommendation data and the third historical recommendation data to obtain a trained preset recommendation model; and under the condition that the first identity attribute information is received, determining recommendation data corresponding to the first identity attribute information based on the trained preset recommendation model.
Description
technical field [0001] The present application relates to the field of computer technology, and in particular to a data processing method and device, and a storage medium. Background technique [0002] Due to the large scale of the product library, in order to meet the needs of recommending products to customers in real time, at present, the recommendation system is usually used to filter the products related to the user from the product library according to the user's attribute information, and then recommend them to the user, but In the process of model training of the existing recommendation system, the accuracy of the trained recommendation system will be low due to the singleness of the sample. Contents of the invention [0003] Embodiments of the present application provide a data processing method and device, and a storage medium, which can improve the accuracy of recommendation. [0004] The technical scheme of the present application is realized like this: [00...
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Login to View More IPC IPC(8): G06Q30/06G06F16/2457
CPCG06F21/71
Inventor 宋金波姚亚飞李勇彭长平包勇军邵京平
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD