User recommendation method and device, equipment and storage medium
A recommendation method and user technology, applied in data processing applications, special data processing applications, instruments, etc., can solve problems such as user interference, low recommendation effect, and inability to increase attention rate
Pending Publication Date: 2021-05-14
BIGO TECH PTE LTD
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Problems solved by technology
[0003] However, if the network data recommended to the user cannot arouse the user's interest, not only the attention rate cannot be increased, but also the recommended network data will cause some interference to the user
The current user recommendation method is generally based on recommendations such as second-degree friends, and does not involve multi-dimensional calculations, resulting in low recommendation effects
Method used
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[0087] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0088] One of the core ideas of the embodiments of the present invention is to calculate the first-degree / second-degree contacts of the recommended user according to the user's friend relationship, follow-up relationship, etc., and combine the posting situation in the user terminal and the behavior of the client to calculate the recommended user's The recommendation score is calculated and sorted, and the user's attention strategy for the recommended user is dynamically adjusted in an experimental manner.
[0089] refer to figure 1 , which shows a flow chart of steps of an embodiment of a user recommendation method in the present invention, which may specifically include the following steps:
[0090] Step 101, pull the recommende...
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The embodiment of the invention provides a user recommendation method and device, equipment and a storage medium, and the method comprises the steps: pulling contact recommendation data for a recommended user from a preset contact recommendation pool, and returning the contact recommendation data to a terminal; receiving operation information which is sent by the terminal and aims at the recommended user, wherein the operation information is generated by a feedback operation of a terminal user acting on the recommended user; and updating recommendation degree information of the recommended user according to the operation information. The user contact data is pushed from multiple dimensions by combining user behaviors and the user feedback on the basis of an existing user relation chain of an existing user recommendation mode, so that the user recommendation effect is ensured.
Description
technical field [0001] The present invention relates to the technical field of data mining, in particular to a user recommendation method, device, equipment and storage medium. Background technique [0002] User network recommendation is based on user data, recommending more interested users to users to guide users to pay attention, increase user attention rate, and expand the overall relationship chain data. [0003] However, if the personal network data recommended to the user cannot arouse the interest of the user, not only the attention rate cannot be increased, but also the recommended personal network data will cause some interference to the user. The current user recommendation method is generally based on recommendations such as second-degree friends, and does not involve multi-dimensional calculations, resulting in low recommendation effects. Contents of the invention [0004] In view of the above problems, embodiments of the present invention are proposed to pro...
Claims
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Login to View More IPC IPC(8): G06F16/9535G06F16/9536G06Q50/00
CPCG06F16/9535G06F16/9536G06Q50/01
Inventor 陈培虎陈义武
Owner BIGO TECH PTE LTD