Information generation method and device, electronic equipment and computer readable medium
A technology of information generation and information sequence, which is applied in the computer field, can solve the problems of not considering the difference in data dimension and the low accuracy rate of item circulation information, etc.
Active Publication Date: 2022-07-26
BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD
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AI Technical Summary
Problems solved by technology
[0004] did not consider the data dimensional difference between the most similar item and the target item, and the cycle information of the historical item circulation information set of the most similar item, resulting in the prediction of the target item in The accuracy of item circulation information within the above target time is low
Method used
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[0035] 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. Rather, these embodiments are provided for a 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.
[0036] In addition, it should be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. The embodiments of this disclosure and features of the embodiments may be combined with each other without conflict.
[0037] It should be noted that concepts ...
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The embodiment of the invention discloses an information generation method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the steps of obtaining a to-be-predicted article circulation information sequence for a to-be-predicted article and a reference article circulation information sequence for a reference article; performing primary differential processing on to-be-predicted article circulation information in the to-be-predicted article circulation information sequence and reference article circulation information in the reference article circulation information sequence to obtain a to-be-predicted article circulation information sequence after first processing and a reference article circulation information sequence after first processing; generating a prediction difference result according to the to-be-predicted article circulation information sequence after the first processing and the reference article circulation information sequence after the first processing; and according to the prediction difference result, generating predicted article circulation information of the to-be-predicted article in the target time. According to the embodiment, the predicted article circulation information of the to-be-predicted article can be accurately and efficiently generated.
Description
technical field [0001] Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to information generation methods, apparatuses, electronic devices, and computer-readable media. Background technique [0002] At present, the method of neural network is often used to predict the item flow information within the target time. Among them, the prediction method of neural network often requires a large amount of historical item circulation information. For a target item with insufficient information on the circulation of historical items, the usual method is as follows: first, determine the item that is most similar to the category information of the above target item. Then, use the historical item circulation information set of the most similar items to supplement information on the historical item circulation information set corresponding to the target item, and obtain the supplemented historical item circulation information set. Fin...
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Login to View More IPC IPC(8): G06Q30/02
CPCG06Q30/0202G06Q30/0201
Inventor 周鈵炎伍斌杰庄晓天吴盛楠
Owner BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD