Information recommendation method and device
A technology of information recommendation and user information, applied in the field of machine learning, can solve problems such as inaccuracy and failure to consider the overall behavior of users, and achieve the effect of accurate information recommendation
Pending Publication Date: 2021-08-03
BEIJING SANKUAI ONLINE TECH CO LTD
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Problems solved by technology
[0003] In practical applications, when recommending information for a business, it is often only through the user's historical behavior in this business to determine which business objects in the business to recommend to the user, and to determine which business objects in the business to recommend to the user. The order of business objects in this way, information recommendation in this way does not take into account the overall behavior of users in the business platform, therefore, information recommendation in this way may be relatively inaccurate
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[0052] 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.
[0053] The technical solutions provided by each embodiment of this specification will be described in detail below in conjunction with the accompanying drawings.
[0054] figure 1 Schematic flow diagram of the method recommended for one of the information in this specification, including the following steps:
[0055] S101: In response to a user's service request, obtain a preset service t...
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The invention discloses an information recommendation method and device, and the method comprises the steps of obtaining a preset business topological graph in response to a business request of a user, determining each candidate recommendation business object for the business request, and then, for each candidate recommendation business object, inputting the candidate recommendation service object and the user information of the user into a pre-trained feature extraction model, so that the feature extraction model determines a feature vector corresponding to the candidate recommendation service object and a feature vector corresponding to the user based on the service topological graph; and inputting the feature vector corresponding to the user and the feature vector corresponding to the candidate recommendation service object into a pre-trained prediction model to obtain the recommendation degree corresponding to the candidate recommendation service object, and performing information recommendation on the user according to the recommendation degree corresponding to each candidate recommendation service object. Therefore, the information can be recommended to the user more accurately.
Description
technical field [0001] This description relates to the technical field of machine learning, and in particular to a method and device for information recommendation. Background technique [0002] With the continuous development of information technology, users can perform various services on the service platform. Correspondingly, the service platform can recommend service objects under various services to users. For example, in the takeaway service, the service platform can recommend takeaway meals to users. In the consumer review business, the business platform can recommend merchants in the user's area and the meals under the merchants to the user. [0003] In practical applications, when recommending information for a business, it is often only through the user's historical behavior in this business to determine which business objects in the business to recommend to the user, and to determine which business objects in the business to recommend to the user. The order of th...
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Login to View More IPC IPC(8): G06Q30/06G06K9/62
CPCG06Q30/0631G06F18/21
Inventor 崔强张亚峰张庆
Owner BEIJING SANKUAI ONLINE TECH CO LTD