Television program recommendation method and system, terminal and storage medium
A technology for TV programs and recommendation methods, applied in electrical components, image communication, selective content distribution, etc., can solve the problems of reflecting the psychological state of users, unable to guarantee accuracy and real-time, and unable to judge users' emotions in real time, etc. To achieve the effect of improving real-time performance
Active Publication Date: 2019-02-12
SHENZHEN SKYWORTH RGB ELECTRONICS CO LTD
View PDF4 Cites 12 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the machine learning algorithm strongly relies on the user's long-term usage habits to repair the accuracy of the algorithm, and cannot judge the user's current emotions in real time, reflecting the user's psychological state
It takes a considerable amount of time to learn, and accuracy and real-time performance cannot be guaranteed
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0046] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0047] The main solutions of the embodiments of the present invention are: collecting the first facial information of the current user; extracting the first facial features from the first facial information; obtaining a preset emotional model generated based on a deep learning algorithm, the The preset emotional model is trained by facial feature samples of several users, and is used to feed back the corresponding emotional type based on the facial features; input the first facial feature into the preset emotional model, and obtain the output of the preset emotional model the first emotion type; based on the first emotion type and a preset recommendation algorithm, obtain a TV program corresponding to the first emotion type, and recommend the TV program to the user. The invention realizes recommending corresponding TV...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a television program recommendation method and system, a terminal and a storage medium. The television program recommendation method comprises the following steps: collecting first facial information of a current user; extracting a first facial feature from the first facial information; obtaining a preset emotion model generated based on a deep learning algorithm, wherein the preset emotion model is obtained by training facial feature samples of a plurality of users, used for feeding back corresponding emotion types based on the facial features; inputting the first facial feature into the preset emotion model to obtain a first emotion type output by the preset emotion model; and obtaining a television program corresponding to the first emotion type based on the first emotion type and the preset recommendation algorithm, and recommending the television program to the user. The invention realizes recommending corresponding television programs to the user accordingto the real-time emotion type of the user; therefore, the real-time property, accuracy and intelligence of the television program recommendation is improved.
Description
technical field [0001] The present invention relates to the technical field of terminal applications, in particular to a TV program recommendation method, terminal, system and storage medium. Background technique [0002] The coming fourth industrial revolution is a large-scale wave of intelligence after mechanization, electrification and informatization. In recent years, with the breakthrough application and explosive growth of emerging technologies such as artificial intelligence, Internet of Things, and blockchain, the trend of intelligence will become more and more obvious. TV will not only exist as a terminal display media, but also need to be close to the family, become a virtual family partner, and perceive the psychological activities of each family member in real time, relying on the living room, bedroom, large screen and the advantages of being closer to human life, for every Each family member presents different content to achieve intelligence, life, and humaniza...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/442H04N21/466H04N21/25
CPCH04N21/251H04N21/44218H04N21/4668
Inventor 雷新张芳艳杨媛媛
Owner SHENZHEN SKYWORTH RGB ELECTRONICS CO LTD