A method and terminal for recommending videos
A video and vector technology, applied in the field of recommended videos, can solve problems such as inaccurate videos, achieve the effect of speeding up and improving the recommendation speed
Active Publication Date: 2022-04-22
优地网络有限公司
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[0004] In view of this, the embodiment of the present application provides a method and terminal for recommending movies to solve the problem of recommending movies through a collaborative filtering recommendation algorithm in the traditional movie recommendation method. This recommendation algorithm has the risk of overfitting and cold start problems, resulting in Issue with inaccurate user-recommended videos
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[0065] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0066] See figure 1 , figure 1 It is a schematic flowchart of a method for recommending movies provided by an embodiment of the present application. In this embodiment, the executing subject of recommending movies is a terminal recommending movies, including but not limited to tablet computers, PDAs (Personal Digital Assistant, PDA), computers, smart phones, and other mobile terminals. Such as figure 1 The methods shown for recommending videos may include:
[0067] S101: Obtain the user identification information of the user and the identification information of each o...
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This application is applicable to the field of computer technology, and provides a method and terminal for recommending movies, including: obtaining the user identification information of the user and obtaining the movie identification information of each originally recommended movie; The movie identification information is input into the trained recommendation model for prediction processing, and the corresponding click probabilities of at least two target movies are obtained; each of the target movies is sorted according to the size of the click probability, and the final recommendation is determined and recommended according to the sorting results Film. In the above method, the trained recommendation model is used to predict and process the obtained user identification information and movie identification information to obtain the click probability corresponding to the target movie; determine the final recommended movie according to the size of the click probability, and recommend the final recommended movie to users, enhancing the accuracy of recommending videos to users.
Description
technical field [0001] The present application belongs to the field of computer technology, and in particular relates to a method and terminal for recommending movies. Background technique [0002] With the development of information technology and the Internet, people have gradually entered an era of information overload from an era of information scarcity, and the number of films has increased dramatically. In this context, video recommendation is particularly important. [0003] However, the traditional method of movie recommendation is to recommend movies through collaborative filtering recommendation algorithm, which has the risk of overfitting and cold start problem (for newly added users or items, there is no corresponding historical information, so it is difficult to accurately Modeling and recommendation), resulting in inaccurate videos recommended to users. Contents of the invention [0004] In view of this, the embodiment of the present application provides a ...
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IPC IPC(8): G06F16/9535G06F16/735
CPCG06F16/9535G06F16/735
Inventor 谢宜廷李延平
Owner 优地网络有限公司