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Cross-media user identity matching method based on location entity

A technology of user identity and matching method, which is applied in the field of cross-media user identity matching based on location entities, can solve the problems of too many users and low matching accuracy, and achieve the effect of precise recommendation and high accuracy

Active Publication Date: 2021-08-31
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Any social media will have basic account information, and these basic information are often in the same format. The advantage is that it is more convenient than matching other user information, but the disadvantage is also obvious, that is, there are too many users with similar information, and the matching accuracy is low.

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  • Cross-media user identity matching method based on location entity
  • Cross-media user identity matching method based on location entity
  • Cross-media user identity matching method based on location entity

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] Such as figure 1 Shown, the present invention provides a kind of cross-media user identity matching method based on location entity, comprises the following steps:

[0034] 1) Realize the user location entity matrix based on open source information: extract the location entity feature words from the open source text of multi-source social media, and establish the location entity lexicon; construct the user location entity matrix according to the location entity lexicon;

[0035] Step 1) is as follows:

[0036] 1.1) Use network data collection technology to crawl all tweets posted by each user in social media;

[0...

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Abstract

The invention discloses a cross-media user identity matching method based on a location entity. The method establishes a user location entity matrix and utilizes a clustering algorithm K-means to cluster users with similar locations, based on the existing actual location tags of similar users , realize the virtual reality position mapping of the target user, and then in order to mine the target user’s accounts in multiple social media, based on the target user’s position entity matrix on a certain social media, calculate the Hamming of its position entity matrix with other social media accounts distance to achieve cross-media user identity matching. The method of the present invention performs user identity matching based on location entities with high accuracy, which is conducive to comprehensively understanding user preferences and realizing accurate recommendation.

Description

technical field [0001] The invention relates to network big data collection and analysis technology, in particular to a cross-media user identity matching method based on a location entity. Background technique [0002] With the development of the Internet, the information generated by users is increasing and the information is more open. An obvious phenomenon is that for different social purposes, users regularly distribute personal information on the Internet in different social media. If we can obtain the accounts of the same user on different media and comprehensively analyze the content posted by the user on different social media, then we can more comprehensively obtain the personal information of a single user. This has greatly improved the problem of single source of information in the recommendation system. [0003] In recent years, there have been many studies on cross-media user identity matching methods, mainly including social relationship matching, basic info...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06F40/284
CPCG06F40/284
Inventor 崔晓晖关景杨威田斐菡曹佳敏唐艺豪李启琛
Owner WUHAN UNIV