Page content recommendation method and device and electronic equipment
A technology of page content and recommendation method, which is applied in data processing applications, sales/lease transactions, instruments, etc., can solve problems such as incapability of more accurate diversion, inability to comprehensively and accurately predict, and achieve precise diversion and multiple exposure opportunities Effect
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Embodiment 1
[0055] First of all, the first embodiment provides a page content recommendation method from the perspective of the server, where the page may specifically be an event main venue page, etc. Specifically, the page includes a plurality of different diversion granularities. Section, the section includes multiple resource bits; see figure 2 , The method includes:
[0056] S201: Collect operation behavior information performed by the user on the content associated with the target resource position during the process of browsing the page, and determine the degree of interest of the user in the content associated with the target resource position according to the operation behavior information ;
[0057] In specific implementation, the user's specific operation behavior information during the page browsing process can be recorded by the client and submitted to the server. In this way, the server can collect the user's specific target resource position in the page according to the informa...
Embodiment 2
[0074] The second embodiment corresponds to the first embodiment. From the perspective of the client, a method for recommending page content is provided, wherein the page includes a plurality of sections with different diversion granularity, and the section includes multiple Resource bits; see Image 6 , The method may specifically include:
[0075] S601: Collect operation behavior information performed by the user on the content associated with the target resource location during the process of browsing the page, and submit it to the server, so that the server can determine the user's feelings about the content associated with the target resource location. Interest level, if the interest level meets the preset conditions, determine the target granularity of the content to be recommended according to the diversion granularity corresponding to the section where the target resource position is located, and determine the target granularity of the content to be recommended according t...
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