Business attention tendency prediction method based on artificial intelligence and artificial intelligence cloud system
A technology of artificial intelligence and prediction method, applied in the field of artificial intelligence cloud system, to achieve the effect of accurate prediction results
Inactive Publication Date: 2021-09-07
阚忠建
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Based on this, there is still a lot of room for improvement in the accuracy of the traditional method of relying solely on big data analysis for the prediction of user business attention tendencies
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[0020] The solutions of the embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures, interfaces, and technologies are presented for a thorough understanding of the specific embodiments of the present disclosure.
[0021] figure 1 It is a schematic diagram of a scenario of an artificial intelligence-based business concern tendency prediction system 10 provided by an embodiment of the present disclosure. The artificial intelligence-based business concern tendency prediction system 10 may include an artificial intelligence cloud system 100 and a smart online service terminal 200 communicatively connected to the artificial intelligence cloud system 100 . figure 1 The shown artificial intelligence-based business concern tendency prediction system 10 is only a feasible example, and in...
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The embodiment of the invention provides a business attention tendency prediction method based on artificial intelligence and an artificial intelligence cloud system, and the method comprises the steps: obtaining the session behavior characteristics of a specified e-commerce service object in a current e-commerce commodity session page; the session behavior characteristics comprise the session jump information corresponding to the current e-commerce commodity session page and the session task characteristics of the processed session task, so that the business attention tendency prediction model can more accurately predict the business attention tendency according to the two factors of the session jump information and the session task. More importantly, the index basis of the model weight index during the training of the business attention tendency prediction model comprises business attention tendency and the past predicted business attention tendency of each e-commerce commodity session page, and the business attention tendency and the business attention tendency of each step are utilized to determine the model weight index information to update the network weight; the influence of continuous change of the session task on business attention tendency prediction is considered, and the prediction result is more accurate.
Description
technical field [0001] The present disclosure relates to the technical field of machine learning models, and for example, relates to an artificial intelligence-based business attention tendency prediction method and an artificial intelligence cloud system. Background technique [0002] With the development of emerging computing domains such as cloud computing, big data, and the Internet of Things, the services available in the Internet environment have increased rapidly in both number and type. The maturity of service computing technology and its wide application in various fields have led to the rapid growth of service economy, service market and service business. Therefore, how to provide the market with user-centric services and its combined technologies will become one of the future trends in service computing. It is very important and urgent to accurately mine user preferences and make efficient and accurate service recommendations. [0003] In recommender systems, a c...
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IPC IPC(8): G06F16/9535G06Q30/06G06N3/04G06N3/08G06N20/00G06K9/62
CPCG06F16/9535G06Q30/0631G06N3/08G06N20/00G06N3/045G06F18/2415
Inventor 阚忠建
Owner 阚忠建