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Automatic real-time news recommendation method

A recommendation method and news technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as inability to recommend information, difficulty in solving cold start problems, data sparsity problems, and scalability problems.

Inactive Publication Date: 2017-08-08
CHANGCHUN JIACHENG NETWORK ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of collaborative personalized recommendation is that it can discover potential interest points of users, but the disadvantage is that it cannot recommend information that has never been accessed by other users in the same category, and it is difficult to solve cold start problems, data sparsity problems and scalability problems

Method used

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  • Automatic real-time news recommendation method
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  • Automatic real-time news recommendation method

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Embodiment Construction

[0063] The specific implementation manner of the present invention will be described in conjunction with the application of the present invention in the government affairs news recommendation system. The news recommendation system is to install the recommendation system in the application software with the help of the Internet information data dissemination technology on the mobile device, to edit, sort out and reorganize the news event reports and related information, and to coordinate the construction of the information data system and share resources. Provide customized and personalized news push services for audiences according to individual differences in information needs and reading interests. The specific implementation content of the present invention is to realize real-time and accurate personalized push of news for different users in the field of government affairs. The overall structural block diagram of the recommendation algorithm of the present invention is as f...

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Abstract

The invention discloses an automatic real-time news recommendation method which comprises the steps of news grabbing, news preprocessing, news model training, news characteristic modeling, preliminary user characteristic modeling, secondary user characteristic modeling, fusion matching degree computation based on a news characteristic model and a user interest model, and personalized news recommendation based on a fusion matching degree computation result. The method can perform automatic and real-time personalized recommendation on news, and has very high adaptability and stability for both new users and registered users.

Description

technical field [0001] The invention relates to a news recommendation method, which is used in the field of news recommendation, in particular to an automatic real-time news recommendation method. Background technique [0002] The emergence and popularization of the Internet has brought a large amount of information to users, satisfying users' needs for information in the information age. However, with the rapid development of the Internet, the amount of information on the Internet has increased significantly, making it impossible for users to obtain the part of information that is really useful to them when faced with a large amount of information, and the efficiency of using information is reduced instead. This is The so-called information overload problem. [0003] To solve the problem of information overload, there are information retrieval systems represented by search engines. However, when different users of search engines use the same keyword to search for informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 庞景秋齐景春崔放于希丰刘杨张少卓毛成岳
Owner CHANGCHUN JIACHENG NETWORK ENG
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