Method and device for information recommendation
A technology for information recommendation and information recommendation, which is applied in the computer field and can solve problems such as inaccurate results of recommendation models
Active Publication Date: 2022-05-10
北京钱袋宝支付技术有限公司 +1
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However, since some samples can actually only reflect part of the full sample, when using some samples to train the recommendation model, the output of the recommendation model will often lead to inaccurate results.
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[0050] 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.
[0051] The technical solutions provided by each embodiment of this specification will be described in detail below in conjunction with the accompanying drawings.
[0052] In the existing technology, due to the large scale of user data, inputting all samples into the recommendation model for training will make the model training time very long. Therefore, part of the samples in the full sample...
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This description discloses a method and device for information recommendation, which acquires the user data of the user and determines the feature data corresponding to the user. Secondly, for each pre-trained recommendation model, input the feature data into the recommendation model to determine The first recommendation probability for information recommendation to users under the recommendation model. Then, according to the sample sampling rate corresponding to the recommendation model during model training, the first recommendation probability corresponding to the recommendation model is corrected to determine the corrected recommendation probability corresponding to the recommendation model. Finally, information is recommended to the user according to the corrected recommendation probabilities corresponding to each recommendation model. This method corrects the first recommendation probability corresponding to the recommendation model through the sample sampling rate corresponding to the recommendation model during model training, which improves the accuracy of the results output by the recommendation model, thereby ensuring the accuracy of information recommendation to users .
Description
technical field [0001] This description relates to the field of computer technology, and in particular to an information recommendation method and device. Background technique [0002] At present, the business side provides users with numerous online services, and in order to provide more convenience for users' daily life, they can recommend information to users based on their user data, so that users can, based on the received recommendation information, Execute the business that meets your actual needs. [0003] In practical applications, pre-trained recommendation models are usually used to recommend information to users. In the training process of the recommendation model, due to the large scale of user data, it is impossible to input all samples into the recommendation model for training under the existing computing resources. Therefore, a part of the samples are usually used to train the recommendation model. . However, since some samples can actually only reflect p...
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IPC IPC(8): G06F16/2457G06K9/62
CPCG06F16/2457G06F18/2415G06F18/214
Inventor 谢壮壮陈振奚冬博燕鹏
Owner 北京钱袋宝支付技术有限公司