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Personalized movie recommendation method and device and electronic equipment

A recommendation method and movie technology, applied in the direction of electronic digital data processing, special data processing applications, instruments, etc., can solve the problems of less movie selectivity, unable to meet the diverse needs of different users, increase user operations, etc., and achieve personalization. The effect of recommended movies

Active Publication Date: 2020-09-25
卓尔智联(武汉)研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although this method can recommend some movies to users, it requires users to actively score, which increases user operations; and the recommended movies are too few to choose from, which does not take into account the real needs of users and cannot meet the diverse needs of different users.

Method used

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  • Personalized movie recommendation method and device and electronic equipment
  • Personalized movie recommendation method and device and electronic equipment
  • Personalized movie recommendation method and device and electronic equipment

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Embodiment Construction

[0023] In the description of the embodiments of the present invention, those skilled in the art should know that the embodiments of the present invention can be implemented as methods, devices, electronic devices, and computer-readable storage media. Therefore, the embodiments of the present invention can be implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software. Furthermore, in some embodiments, the embodiments of the present invention can also be implemented in the form of a computer program product in one or more computer-readable storage media containing computer program code.

[0024] Any combination of one or more computer-readable storage media may be used for the above-mentioned computer-readable storage medium. The computer-readable storage medium includes: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or de...

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Abstract

The invention provides a personalized movie recommendation method and device and electronic equipment, and the method comprises the steps of determining a movie label set of a plurality of movies in advance, wherein the movie label set comprises a plurality of movie labels; generating a user label set of the user according to the viewing record of the user, wherein the user label set comprises a plurality of user labels; determining the overall association degree between the user and the movie according to the association degree between the plurality of user tags and the plurality of movie tags; and selecting one or more movies from the plurality of movies as target movies according to the overall association degree of the plurality of movies, and pushing the target movies to the user. According to the personalized movie recommendation method and device and the electronic equipment provided by the embodiment of the invention, the personalized movie label is formed on the basis of the movie review information, the overall matching degree between the user and each movie can be determined more finely and accurately, accurate recommendation can be realized in a targeted manner on the basis of the characteristics of the user, and personalized movie recommendation is realized.

Description

technical field [0001] The present invention relates to the technical field of information recommendation, in particular to a personalized movie recommendation method, device, electronic equipment and computer-readable storage medium. Background technique [0002] With the rapid development of science and technology, users can easily obtain movie resources through various online channels. Although movie watching itself is a relatively independent activity, online movie review communities have sprung up in recent years. The sharing of fun and movies in China is increasingly influenced by social platforms. However, there are a large number and variety of existing movies, and the base of movie reviews is too large and redundant. Users often need to spend time and energy to find movies that suit them. The traditional method uses a rating system to predict the user's favorite movies based on the user's rating records. [0003] Although this method can recommend some movies to u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/735
CPCG06F16/9535G06F16/735Y02D10/00
Inventor 李纯懿邓承
Owner 卓尔智联(武汉)研究院有限公司
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