Information recommendation method and device
A technology of information recommendation and recommendation service, applied in the Internet field, can solve problems such as failure to reach application developers, serious homogeneity, and loss of users, and achieve the effect of accurate personalized recommendation, easy viewing, and sharing
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example 1
[0045] In the following, an example 1 of the embodiment of the present invention is briefly described.
[0046] The user has installed App XYZ on the terminal and registered on the APP side, so that he has a unique ID for logging in to the App XYZ. When using the App XYZ, users will search for some keywords, click on key information, browse, etc. according to their own interests or needs. Therefore, the information of these personalized operations of the customer on the App side will be sent to the recommendation service module. Therefore, the recommendation service module can reliably draw the corresponding user portrait according to the user's personalized operations from the App side and return it to the App side. , so that when the interface of the App XYZ is displayed, the information that the customer is interested in can be displayed with a higher priority at any time based on the information in the recommendation service module.
[0047] When the customer chooses not ...
example 2
[0053] The above example 1 describes that the user first registers and logs in on the terminal device through the App and initially describes the user portrait, and then performs personalized recommendations corresponding to the App when browsing the web pages of the application on the browser. example of.
[0054] Next, another example of this embodiment, ie, Example 2, will be described. In actual use, there is still such a situation: the user first learns about the application through the browser and after a certain amount of browsing, downloads the App XYZ through the page on the browser or through the mall. In this case, when the user installs the App XYZ and starts the App XYZ for the first time, traditionally, there is no user information in the recommendation service module, and no personalized recommendation will be made.
[0055] However, in Example 2 according to this embodiment, when the user operates on the web page at the browser end, the user will search and cl...
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