Information push method and system
A technology for pushing information and recommending information, applied in the field of the Internet, can solve the problems of finding information, low efficiency and difficulty in finding information, and achieve the effect of reducing the amount of data, high efficiency and difficulty of finding.
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Embodiment 1
[0062] refer to figure 1 , shows a schematic flowchart of steps of an information push method in Embodiment 1 of the present invention. In this embodiment, the information push method includes:
[0063] Step 102, acquire attribute information of the current user.
[0064] In this embodiment, the attribute information of the current user can be acquired in any appropriate way, for example, but not limited to: the age information, gender of the current user can be determined through the information input by the current user during registration Information and hobbies information, etc.; for another example, the location information of the current user, the climate and environment information of the location, etc. can be determined through the IP (Internet Protocol, a protocol for interconnection between networks) address information of the terminal used.
[0065] Step 104, according to the attribute information, filter the pre-recommendation information to obtain recommendation...
Embodiment 2
[0072] refer to figure 2 , which shows a schematic flowchart of steps of an information pushing method in Embodiment 2 of the present invention. In this embodiment, the information push method includes:
[0073] Step 202, acquiring sample attribute information of sample users.
[0074] In this embodiment, the information of sample users of a specific group of people may be collected to obtain sample attribute information. For example, the specific group of people may be, but not limited to: users in the age group of 8-14.
[0075] Step 204, determine pre-recommendation information according to the sample attribute information.
[0076] In this embodiment, as mentioned above, assuming that the sample user is a user in the 8-14 age group, it can be determined according to the analysis of the interests and hobbies of users in the 8-14 age group to meet the requirements of the 8-14 age group. Pre-recommendation information for user needs by age group.
[0077] Step 206, acqu...
Embodiment 3
[0104] In combination with the foregoing embodiments, this embodiment uses a specific example to describe the information pushing method. In this embodiment, the information push method can be specifically applied to a third-party desktop, and the third-party desktop can at least include a managed mode and a managed mode, and the current user can be a user of the managed mode, The second user may be a user in the management mode. More specifically, the current user may be a child, and the second user may be a parent. The recommended information pushed to the current user may be, but not limited to: commodity information such as children's toys, children's clothing, children's books, and children's products.
[0105] In this embodiment, the recommendation information matching the current user may be displayed to the current user through the third-party desktop, and the received current user may use the received first operation request to purchase the recommended object corresp...
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