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A face identification-based personalized video recommendation method and recommendation system

A technology of video recommendation and face recognition, applied in the field of information processing, can solve the problems of inability to recommend model recommendation, inability to establish user interest model, etc., and achieve the effect of high recommendation efficiency

Inactive Publication Date: 2017-02-15
TCL CORPORATION
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Problems solved by technology

[0006] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a personalized video recommendation method and recommendation system based on face recognition. For recommendation, it is impossible to establish a user interest model based on facial features, and it is also impossible to make recommendations based on the user's preference model

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  • A face identification-based personalized video recommendation method and recommendation system
  • A face identification-based personalized video recommendation method and recommendation system
  • A face identification-based personalized video recommendation method and recommendation system

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Embodiment Construction

[0067] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] The present invention provides a flowchart of a preferred embodiment of a personalized video recommendation method based on face recognition, as shown in figure 1 As shown, among them, the methods include:

[0069] Step S100, acquiring the user's face image, extracting and storing the face features in the user's face image;

[0070] Step S200, acquiring network video data, performing a feature vector extraction operation on the network video data to generate a video feature vector;

[0071] Step S300, generating a user interest model according to the user behavior data corresponding to the video feature vector and the face feature;

[00...

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Abstract

The invention provides a face identification-based personalized video recommendation method and recommendation system. The method comprises the steps of acquiring a face image of a user and extracting and storing the face features in the face image of the user; acquiring network video data and performing feature vector extracting on the network video data and then generating video feature vectors; generating a user interest model according to the video feature vectors and user behavior data corresponding to the face features; calculating the similarity degrees of the user interest model and the video feature vectors, and forming a recommendation list based on the calculated similarity degrees. The method and the system can analyze the interest and preference of a user after identifying the face of the user, can filter video with low similarity degrees and video that has been viewed already in to-be-recommended video, are high in recommendation efficiency and provide convenience for users.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a personalized video recommendation method and recommendation system based on face recognition. Background technique [0002] With the continuous improvement of modern living standards, people's needs for entertainment are becoming more and more diverse. Computer technology and image recognition technology have been gradually applied to many fields in daily life. For example, hundreds of millions of Quickly locate the target person in the crowd, and judge the facial expression based on the facial image. [0003] At present, with the diversity of audio and video content, the maturity of audio and video compression technology, and the improvement of storage technology, there have been applications for recommending music based on face images. The existing method of recommending music based on face images mainly recommends music by analyzing facial expression informat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/00
CPCG06F16/735G06F16/9535G06V40/168
Inventor 谭颖璐
Owner TCL CORPORATION
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