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Social information recommendation method and social information recommendation device

A technology for social information and recommendation methods, applied in the field of devices and systems, and social information recommendation methods, can solve the problems of single matching method, poor recommendation effect, low accuracy, etc., to improve accuracy, improve recommendation effect, and effectively matching effect

Pending Publication Date: 2018-11-02
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the research and practice of the existing technology, the inventors of the present invention found that the matching method of the existing scheme is relatively simple, so the accuracy of the recommendation is not high, resulting in poor recommendation effect

Method used

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  • Social information recommendation method and social information recommendation device
  • Social information recommendation method and social information recommendation device
  • Social information recommendation method and social information recommendation device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] This embodiment will be described from the perspective of a social information recommendation device, and the social information recommendation device may specifically be integrated in a server, such as a service server and other devices.

[0033] A method for recommending social information, comprising: acquiring a moving track to be matched by a current user, the moving track including at least one track location; screening other users who have similar moving tracks to the current user in a preset database according to the moving track to be matched, Obtain the candidate user set; determine the user to be recommended from the candidate user according to the preset strategy, determine the social information to be recommended according to the user to be recommended, and recommend to the current user.

[0034] Such as Figure 1b As shown, the specific process of the social information recommendation method can be as follows:

[0035] 101. Acquire a current user's to-be-...

Embodiment 2

[0096] According to the method described in Embodiment 1, an example will be given below for further detailed description.

[0097] In this embodiment, the social information recommendation device is specifically integrated in the server, the current user is user A, the terminal where user A is located is terminal A, and the moving trajectory to be matched is a moving trajectory generated in real time as an example. .

[0098] Such as Figure 2a As shown, a social information recommendation method, the specific process can be as follows:

[0099] 201. Terminal A acquires location change information of user A.

[0100] For example, terminal A can obtain user A's geographic location information within a certain period of time through GPS, base station positioning, or other positioning and movement detection technologies, and record the geographic location information, and then generate user A's location based on the recorded geographic location information Change information,...

Embodiment 3

[0158] The same as the second embodiment, this embodiment also takes the social information recommendation device integrated in the server, the current user is user A, and the terminal where user A is located is terminal A as an example for illustration, different from the second embodiment Yes, the moving trajectory to be matched in this embodiment is obtained from user A's historical data, that is, in the process of Embodiment 2, steps 201 to 203 can be replaced with the following steps:

[0159] The server obtains a plurality of historical movement trajectories of user A within a preset time range in the past, and selects a historical movement trajectory whose occurrence frequency meets a preset frequency condition from the acquired multiple historical movement trajectories, as the movement trajectory of user A to be matched.

[0160] Wherein, the preset frequency condition can be set according to actual application requirements, for example, the details can be as follows: ...

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Abstract

The embodiment of the invention discloses a social information recommendation method, a social information recommendation device and a system, and the method in the embodiment may comprise the following steps: acquiring a to-be-matched moving trail of a current user; then, screening out other users having moving trails similar as the moving trail of the current user from a preset database according to the to-be-matched moving trail, and obtaining a candidate user set; selecting the users to which the social information is going to be recommended from the candidate users according to a preset strategy; and determining to-be-recommended social information according to the users to which the social information is going to be recommended, and thus, recommending the to-be-recommended social information to the current user. With the method, the device and the system provided by the embodiment of the invention, accuracy of recommendation can be increased and recommendation effects can be improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a social information recommendation method, device and system. Background technique [0002] With the rapid development of Internet technology and the popularity of mobile terminals, people's lifestyles are also quietly changing, and social networking is one of them. [0003] Social information recommendation is an important function of most existing social applications. It can find people who have potential social relationships with users according to certain rules. For example, according to the location of the user at a certain time and according to the distance, nearby people can be recommended to him; among them, the range of "nearby" can be set according to actual needs or user preferences, for example, you can set the current location as the center , within a radius of 500 or 1000 meters, etc. [0004] During the research and practice of the prior art, the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/00
Inventor 沈奕杰
Owner TENCENT TECH (SHENZHEN) CO LTD
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