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Character recommendation method, system and terminal

A recommendation method and recommendation system technology, which can be applied in the fields of instrumentation, computing, electrical and digital data processing, etc., and can solve problems such as insufficient consideration of users' personalized recommendation needs.

Active Publication Date: 2021-04-30
NEW FOUNDER HLDG DEV LLC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Social network services need to provide massive user groups with services that meet their respective needs in real time. They must not only respond to massive user real-time service requests, but also respond to user personalized service requests. Taking Sina Weibo as an example, users can use Post your own status, share information, and express your views, ideas and intentions. You can also find like-minded people through the users recommended by the system in the "People you may be interested in" module. Weibo data can be crawled by web crawlers, Sina The Weibo API interface is used to capture data and provide data support for the recommendation of relevant people, but the existing work does not fully consider the user's personalized recommendation needs

Method used

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  • Character recommendation method, system and terminal
  • Character recommendation method, system and terminal
  • Character recommendation method, system and terminal

Examples

Experimental program
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specific Embodiment 1

[0091] Specific embodiment 1, the method for recommending related characters on Sina Weibo includes:

[0092] 1. Weibo user selection: the people that each user is interested in are not all people related to themselves. Figure 4 A schematic diagram of user selection and recommendation according to a specific embodiment of the present invention is shown. Through microblog user selection, the "selection user" concerned by the user is selected, and then the related characters of the "selection user" are analyzed and recommended to the user.

[0093] 2. Related user screening, related users are divided into four types:

[0094] (1) People who love each other

[0095] By analyzing the blog post of the "selected user", all the users of the "selected user" will be parsed out, and the blog posts of all the users of the "selected user" will be retrieved according to the name of the "selected user".

[0096] (2) Art got his own fans

[0097] If the person of "Select User" Aite is a ...

specific Embodiment 2

[0107] Specific embodiment 2, firstly select interested microblog users by searching in the module, for example, select "Xiaoming", we will use the ID of the "Xiaoming" user to retrieve all blog posts of "Xiaoming" in the microblog repository, Get all Weibo users who have been with Aite by analyzing the @ symbol in the blog post. Then, with Aite’s Weibo user as the creator and the blog post containing “@小明” as the condition, get the users who Aite has passed “Xiaoming” among these Weibo users, and analyze the blog posts of these Aite users who have passed “Xiaoming” Check whether there are Weibo users other than "Xiaoming" who have shared with Xiaoming, and then the user who has shared with Xiaoming or the person who interacts with Xiaoming is another person who is the same as "Xiaoming". Xiao Ming's relevance weight, extract the top 10 users with the highest correlation and recommend them to "Xiao Ming", and the recommendation ends.

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Abstract

The present invention proposes a character recommendation method, system and terminal. The character recommendation method includes: selecting the microblog characters concerned by the user; screening out the related characters of the microblog characters according to the microblog characters; obtaining the microblog characters and related The number of mutual mentions of characters; the user's relevance weight is calculated according to the number of mutual mentions; according to the user's relevance weight, a preset number of related figures are selected for recommendation, and the present invention can realize personalized recommendation for users related to the user's microblog Characters, improve the efficiency of character recommendation and user relevance.

Description

technical field [0001] The present invention relates to the technical field of intelligent recommendation, in particular to a character recommendation method, system and terminal. Background technique [0002] In recent years, social network services have become an important category of Internet emerging media, such as Facebook, Twitter, YouTube, Sina Weibo, WeChat, etc. These social network services have had a huge impact on all walks of life. [0003] Social network services need to provide massive user groups with services that meet their respective needs in real time. They must not only respond to massive user real-time service requests, but also respond to user personalized service requests. Taking Sina Weibo as an example, users can use Post your own status, share information, and express your views, ideas and intentions. You can also find like-minded people through the users recommended by the system in the "People you may be interested in" module. Weibo data can be c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9536
CPCG06F16/9535
Inventor 曹亚鹏赵增峰
Owner NEW FOUNDER HLDG DEV LLC
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