Personalized video recommendation method and system

A video recommendation and video technology, applied in video data retrieval, metadata video data retrieval, instruments, etc., can solve problems such as high recommendation accuracy, and achieve the effect of short video time, solving cold start, and fast locking.

Pending Publication Date: 2020-06-19
WUHAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this method is that the recommendation of friends is more credible than that of strangers, and it can solve the cold start problem through social networks; the disadvantage is that the relationship between friends is not necessarily based on common interests, and it may not be able to have a relatively high recommendation precision

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  • Personalized video recommendation method and system
  • Personalized video recommendation method and system

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Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] see figure 1 as well as figure 2 , the present invention provides a technical solution: a personalized video recommendation method, comprising the following steps:

[0051] A. Preprocess all current videos and extract video codes;

[0052] B. For a new user, randomly recommend a batch of videos;

[0053] C. Calculate the adaptability of each recommended video to the user through the user's feedback on the operation of this batch of videos, including...

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Abstract

The invention discloses a personalized video recommendation method and system, and the method comprises the steps: A, carrying out the preprocessing of all current videos, and extracting the codes ofthe videos; b, for a new user, randomly recommending a batch of videos; c, calculating the fitness of each recommended video to the user according to the operation feedback of the user on the batch ofvideos, including like clicking, commenting, forwarding, watching length, watching times and other factors; d, preferentially selecting the previously recommended video through the fitness; e, randomly enabling the previously selected video codes to generate some mutations, performing some mutations, and giving some new attempts to the user; according to the method adopted by the invention, shortvideo recommendation can be carried out on the user to a certain extent, a certain learning ability and interpretability of a result are achieved, and the problem of cold start can be solved to a certain extent.

Description

technical field [0001] The invention relates to the technical field of personalized video recommendation, in particular to a personalized video recommendation method and system. Background technique [0002] At present, personalized video recommendation algorithms can be mainly divided into the following categories: The first category is video recommendation based on collaborative filtering, which uses partial video preference data of the current user or other similar users to predict the user's preference for other users. Likes of some videos. The advantage of this method is that it is relatively simple to implement, and it is good at dealing with complex unstructured data. It does not require professional knowledge, and can get more accurate results when there are a lot of users and videos; the disadvantage is that it is used to represent users and The matrix of the relationship between videos may be sparse, and there will be a cold start problem for new users or new vide...

Claims

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Application Information

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IPC IPC(8): G06F16/735G06F16/78
CPCG06F16/735G06F16/7867
Inventor 杨璇
Owner WUHAN UNIV
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