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News recommendation system based on utility matrix

A recommendation system, news technology, applied in the field of information data management, can solve the problem of impossible recommendation function

Pending Publication Date: 2019-07-16
镇江雅迅软件有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If there is no utility matrix, it is basically impossible to achieve the above recommendation function

Method used

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Embodiment approach

[0014] The present invention provides a utility matrix-based news recommendation system, which realizes the accurate recommendation function of news based on specific user points of interest.

[0015] This implementation is implemented based on the Microsoft.net framework, the database storage module is based on the SQLserver2012 database, the user interaction module is implemented on the web side, and the news media resources are mainly oriented to the WEB ports of large domestic news websites and their official accounts.

[0016] Based on webService, the data synchronization of the original heterogeneous system of the implementation object is realized.

[0017] To achieve the above object, embodiments of the present invention include the following functional modules:

[0018] User management module: It is used to manage the news reading user object information in the system. Statistics can be obtained by binding the other party’s WeChat account, QQ account, email address, mo...

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Abstract

News services have started to attempt to identify reader interests based on articles previously read by the reader. The similarity can be based on the similarity between important words in a document,and can also be based on articles read by readers with similar reading tastes. If the utility matrix does not exist, the recommendation function cannot be realized basically. If a recommendation system needs to be developed, a connection between two common entities must be established: a user and a project. We can use rows and columns of a utility matrix to represent users and columns to represent items. In this way, one row is the score of a user for some items, and the column is the score of some user for one item. By developing a utility matrix reader or a utility matrix reading algorithm,it is possible to count which users are interested in one project or which projects are interested in one user quickly. The invention provides a news recommendation system based on a utility matrix,which realizes an accurate news recommendation function based on specific user interest points.

Description

technical field [0001] The invention relates to the technical field of information data management, in particular to a utility matrix-based news recommendation system. Background technique [0002] News services have begun attempting to identify readers' interests based on the articles they have read in the past. The similarity here may be based on the similarity between important words in documents, or it may be based on articles read by readers with similar reading tastes. If there is no utility matrix, it is basically impossible to realize the above-mentioned recommendation function. [0003] If you want to develop a recommender system, you must establish a relationship between two common entities: users and items. We can use the rows of the utility matrix to represent users and the columns to represent items. In this way, a row is a user's rating for some items, and a column is a number of users' ratings for an item. By developing a utility matrix reader or a utility...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 不公告发明人
Owner 镇江雅迅软件有限责任公司
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