Blind date and friend making matching method and system based on deep learning neural network
A matching method and neural network technology, applied in the direction of neural learning method, biological neural network model, neural architecture, etc., can solve the problems of wasting time and energy, embarrassment of blind date, lack of information, etc., and achieve the effect of improving satisfaction
Pending Publication Date: 2022-02-01
深圳市敢爱科技有限公司
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Problems solved by technology
[0002] The process of meeting for the first time on a blind date will be embarrassing, and it will be a waste of time to meet without knowing each other well. How to improve the success rate of blind dates is a matter of great concern to young people of appropriate age, matchmaking agencies and parents
The first impression is the most important in the process of mutual recognition between strangers. It is usually obtained through photos or descriptions of the introducer, but a lot of information is missing, especially many pictures used for blind dates are processed, resulting in face-to-face. Find out that it is far from your first impression, wasting both parties' time and energy
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Embodiment 1
[0058] Please refer to figure 1 , which is a schematic flowchart of a dating and making friends matching method in an embodiment, and the dating and making friends matching method includes:
[0059] Step 100, acquire gender information and facial image.
[0060] Obtain the gender information and facial image of the user to be matched.
[0061] Step 200, acquire facial feature data.
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The invention discloses a blind date and friend making matching method and system based on a deep learning neural network, and the method comprises the steps: firstly obtaining the gender information and face image of a to-be-matched user, and obtaining the face feature data according to the face image of the to-be-matched user; inputting the gender information and the facial feature data of the user to be matched into a couple matching mathematical model to obtain couple matching feature data, and matching the couple matching feature data with a preset target facial database; the matching feature data of the couple and the target face feature data in a target face database meeting a preset similarity; and finally, outputting heterosexual information corresponding to the target facial feature data. The sex information and the face image of the to-be-matched user are input into the couple matching mathematical model to obtain the couple matching feature data, and matching is carried out according to the couple matching feature data, so that the satisfaction degree of the first meeting of the two parties is improved.
Description
technical field [0001] The invention relates to the technical field of intelligent matching for dating and making friends, and in particular to a matching method and system for dating and making friends based on a deep learning neural network. Background technique [0002] The process of meeting the blind date for the first time will be embarrassing, and it will be a waste of time to meet without knowing each other well. How to improve the success rate of blind date is a matter of great concern to young people of appropriate age, matchmaking agencies and parents. The first impression is the most important in the process of mutual recognition between strangers. It is usually obtained through photos or descriptions of the introducer, but a lot of information is missing, especially many pictures used for blind dates are processed, resulting in face-to-face encounters. If you find that it is far from your first impression, it will waste the time and energy of both parties. How ...
Claims
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IPC IPC(8): G06F16/9536G06N3/04G06N3/08G06V40/16G06Q50/00
CPCG06F16/9536G06N3/04G06N3/08G06Q50/01
Inventor 陈晓锋沈务耀麦理士
Owner 深圳市敢爱科技有限公司



