Information recommendation method and device, equipment, medium and program product
An information recommendation and recommendation list technology, applied in digital data information retrieval, special data processing applications, instruments, etc., can solve problems such as low accuracy, unsatisfactory recommendation effect, and inability to meet users' actual needs.
Pending Publication Date: 2022-01-18
CHINA CONSTRUCTION BANK
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[0003] However, due to the different characteristics of data in different application fields, it is necessary to make reasonable recommendations based on the characteristics of data in specific fields, otherwise the recommendation effect will not be satisfactory.
For example, it is difficult to directly apply the method of product recommendation to other application fields.
In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following problems in the related technologies: in the related technologies, recommending government service items information to users may have a technical problem of low recommendation accuracy, which cannot meet the needs of users. Actual demand
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[0043] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.
[0044] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, ...
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The invention provides an information recommendation method which can be applied to the technical field of artificial intelligence and the technical field of networks. The information recommendation method comprises the steps: collecting multiple pieces of government affair service item information according to operation characteristics of a user, wherein each piece of government affair service item information comprises the publishing time of the government affair service item; generating a first recommendation list according to the multiple pieces of government affair service item information; on the basis of preset service shielding item information, filtering government affair service item information which is the same as the preset service shielding item information in the first recommendation list, and generating a second recommendation list; and on the basis of the preset service recommendation item information, updating the arrangement sequence of the government affair service item information in the second recommendation list, and generating a target recommendation list, wherein the preset service shielding item information and the preset service recommendation item information are predetermined on the basis of the publishing time of the government affair service items. The invention further provides an information recommendation device, equipment, a storage medium and a program product.
Description
technical field [0001] The present disclosure relates to the technical field of artificial intelligence and network technology, and in particular to an information recommendation method, device, equipment, medium and program product. Background technique [0002] With the development of artificial intelligence technology, artificial intelligence technology can be used to recommend information to users. For example, based on the products purchased by the user, products related to the purchased products are recommended to the user to meet the user's purchase needs. Specifically, for example, for a commodity purchased by a user, commodities of other categories related to the purchased commodity may be recommended to the user. [0003] However, due to the different characteristics of data in different application fields, it is necessary to make reasonable recommendations based on the characteristics of data in specific fields, otherwise the recommendation effect will not be sat...
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IPC IPC(8): G06F16/9535G06Q50/26
CPCG06F16/9535G06Q50/26
Inventor 张津豪
Owner CHINA CONSTRUCTION BANK