A product recommendation method for sharing articles, a server and a system
A recommendation method and server technology, applied in the Internet field, can solve problems such as user loss, affect user experience, and users cannot choose, and achieve the effect of improving word-of-mouth and user experience
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no. 1 example
[0087] Figure 4 A schematic flowchart of one implementation of the product recommendation method provided in the first embodiment of the present invention.
[0088] The product recommendation method of this embodiment can be used in the above server 2000, such as Figure 4 shown, including the following steps:
[0089] Step S4100, determine the user level of the current user.
[0090] The server may determine the level of the current user each time it detects that the current user logs in. Specifically, the user level of the current user may be determined every time the current user opens the client or applet for sharing items.
[0091] The server may also determine the user level of the current user according to a preset frequency. For example, the user level of the current user may be determined at 0:00 every Monday and 0:00 the first day of every month.
[0092] In an example of the present invention, the step of determining the level of the current user may include t...
no. 2 example
[0165] The present invention also provides a server, in one aspect, such as Figure 7 As shown, a rating determination module 710 , a product determination module 720 and a product recommendation module 730 are included. The level determination module 710 is used to determine the user level of the current user; the product determination module 720 is used to determine the current recommended product corresponding to the current user according to the user level of the current user, wherein the current recommended product is used to define The current user has permission to use shared items; the product recommendation module 730 is used to push the current recommended product to the current user.
[0166] Through the embodiment of the present invention, according to the user level of the current user, the corresponding recommended products can be pushed to the user, which can enable the user to find the product suitable for him more quickly and accurately, can improve the user e...
no. 3 example
[0183] Figure 8 A schematic block diagram of a server provided for the third embodiment of the present invention.
[0184] according to Figure 8 As shown, the server includes a memory 810 and a processor 820 . The memory 810 is used to store instructions, and the instructions are used to control the processor 820 to implement the product recommendation method as provided in the first embodiment.
[0185]In this embodiment, the server 800 may be embodied in various physical forms. For example, server 800 may be a cloud server. The server 800 can also be as figure 1 Server 2000 is shown.
[0186] Those skilled in the art should understand that the server 800 can be implemented in various ways. For example, the server 800 may be implemented by configuring a processor with instructions. For example, the server 800 may be implemented by storing instructions in a ROM and reading the instructions from the ROM into the programmable device when the device is started. For exam...
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