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Movie recommendation method based on literature learning

A recommended method, a technique of literature and art, applied in the direction of electrical digital data processing, instruments, calculations, etc., can solve difficult problems and achieve a high success rate

Active Publication Date: 2019-11-08
MUDANJIANG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For users, it is very difficult to choose what they really want from such a wealth of movie resources

Method used

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Experimental program
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Embodiment Construction

[0020] The present invention will be further explained below in conjunction with specific embodiments.

[0021] A movie recommendation method based on literary learning, including the following steps:

[0022] S1. Obtain movie viewing data of a plurality of users, the movie viewing data includes the tags and profiles of movies watched, and the movie reviews made by users on the movie;

[0023] S2, analyze the movie reviews, count the number of repeated sentences in the movie reviews of different users in the watched movies, and record the movie with the highest number of repeated sentences in the movie reviews, and record it as the reference movie;

[0024] S3. Read the new movie in the server, and read the movie information corresponding to the new movie, where the movie information includes the label and brief introduction of the movie;

[0025] S4. Comparing the movie information of the new movie in the server with the movie information of the reference movie;

[0026] S5...

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Abstract

The invention relates to the technical field of movie recommendation methods, in particular to a movie recommendation method based on literature learning. The movie recommendation method comprises thefollowing steps: S1, obtaining movie watching data of a plurality of users; S2, analyzing the movie reviews, and finding out a reference movie; S3, reading a new movie in the server, and reading movie information corresponding to the new movie; S4, comparing the movie information of the new movie in the server with the movie information of the reference movie; and S5, recommending a new movie ofwhich the movie introduction is similar to that of the reference movie to the user. According to the movie recommendation method, the movies with the highest repeated statement frequency in the moviereviews are screened out by analyzing the movie reviews of the users, and the movies can generate more resonance among the users, and new movies recommended on the basis of the movies can be acceptedby the users more easily, and the recommendation success rate is high.

Description

technical field [0001] The present invention relates to the technical field of movie recommendation methods, in particular to a movie recommendation method based on literature and art learning. Background technique [0002] Big data analysis is a relatively cutting-edge direction in the Internet industry, and data mining is a powerful tool in this industry. Through the analysis and mining of data, the preferences or trends of users can be obtained or predicted, so as to provide better services for users. In the era of information explosion, movie content is growing rapidly, and there are countless websites and applications surrounding movie-related content. For users, it is very difficult to choose the content they really want from such a wealth of movie resources. [0003] For users of literature and art studies, it is even more difficult to find movies that are conducive to literature and art studies from the rich movie resources. [0004] Therefore, we propose a movie ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/735
CPCG06F16/9535G06F16/735
Inventor 黄昊吴晓明
Owner MUDANJIANG NORMAL UNIV
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