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CN-122022953-A - Visual activation progressive jewelry recommendation method

CN122022953ACN 122022953 ACN122022953 ACN 122022953ACN-122022953-A

Abstract

The application provides a visual activation progressive jewelry recommendation method which comprises the steps of calculating human body biological response parameters, psychological characteristic vectors and cultural regional indexes of users, constructing user personalized jewelry demand images based on the human body biological response parameters, the psychological characteristic vectors and the cultural regional indexes, and screening target jewelry matched with the users by using the user personalized jewelry demand images to carry out multidimensional matching in a jewelry characteristic database. According to the scheme, professional parameters such as color concentration, hardness, cutting work and the like are quantitatively matched with physiological and psychological data of a user through constructing a jewelry feature database and a visual screening process, so that subjective randomness of traditional recommendation is avoided. The user can intuitively understand the association of the recommendation result and the characteristics (such as how the eye sensitivity influences the color selection of the precious stone), so that the scientificity and the user trust degree of the recommendation process are improved, and the defects of opaque recommendation logic and difficult tracing in the prior art are overcome.

Inventors

  • LIANG LI

Assignees

  • 梁丽

Dates

Publication Date
20260512
Application Date
20260203
Priority Date
20250616

Claims (10)

  1. 1. A method of visually activating progressive jewelry recommendation, comprising: Calculating the biological response parameters, psychological characteristic vectors and cultural regional indexes of the human body of the user; constructing a user personalized jewelry demand image based on the human biological response parameters, the psychological characteristic vector and the cultural regional index; And using the user personalized jewelry requirement image to carry out multidimensional matching in a jewelry feature database, and screening out target jewelry matched with a user.
  2. 2. The jewelry recommendation method of claim 1, wherein calculating said human biological response parameters comprises: acquiring physiological response data of a body to colors, which are generated by stimulation of jewelry to a user; Normalizing the physiological response data to generate a biological basic feature matrix; And extracting a color perception threshold and physiological stress characteristics based on the biological basic characteristic matrix, and carrying out weight assignment to generate human biological response parameters.
  3. 3. The jewelry recommendation method of claim 2, wherein said physiological response data of said body to color comprises unintentional physiological feedback to different colors such as galvanic skin response, heart rate variability, etc.
  4. 4. The jewelry recommendation method of claim 1, wherein calculating said mental feature vector comprises: Acquiring character dimension evaluation data, color emotion related data and subconscious demand data of a user; Carrying out structural classification on the character dimension evaluation data, the color emotion related data and the subconscious demand data to generate a standardized psychological characteristic data set; And converting the standardized psychological characteristic data set into a psychological characteristic vector through a multidimensional emotion mapping model.
  5. 5. The jewelry recommendation method of claim 4, wherein said obtaining of subconscious demand data comprises analyzing psychological complaints not explicitly expressed by a user based on a user's description of a jewelry use scenario in combination with a symbolism of jewelry.
  6. 6. The jewelry recommendation method of claim 1, wherein calculating the cultural territory index comprises: acquiring the growing region, the mental culture symbols and the folk culture background data of the user; carrying out region culture feature coding on the growing region, the mental culture symbol and the folk culture background data to generate a culture preference vector; Based on the cultural preference vector, a cultural regional index is calculated according to symbolic representation vectors of jewelry in different cultures.
  7. 7. The jewelry recommendation method of claim 1, wherein constructing said user-personalized jewelry demand image comprises: Mapping the human biological response parameters to jewelry color hardness feature space to generate physiological adaptation feature vectors; inputting the psychological characteristic vector into a mood jewelry association model to generate a psychological preference characteristic vector; Mapping the cultural regional index to a cultural symbolic feature space to generate a cultural adaptation feature vector; and constructing a multi-dimensional user personalized jewelry requirement image based on the physiological adaptation, psychological preference and cultural adaptation feature vector.
  8. 8. The jewelry recommendation method of claim 7, wherein said constructing of said jewelry feature database comprises: and carrying out standardized extraction on the parameters of colors, concentrations, hardness, cutting tools and cultural symbolism of various jewelry to generate a jewelry multidimensional feature matrix.
  9. 9. The jewelry recommendation method of claim 1, wherein matching using said user personalized jewelry requirement image comprises: Performing similarity calculation on the user personalized jewelry demand image and jewelry characteristics in a jewelry characteristic database to generate an initial matching degree matrix; based on progressive screening rules, weight dynamic adjustment is sequentially carried out on physiological suitability, cultural fitness and psychological preference, and self-adaptive matching scores are generated; and sorting jewelry according to the self-adaptive matching score, generating a personalized recommended jewelry list, and outputting visual screening process parameters.
  10. 10. The jewelry recommendation method of claim 9, wherein said progressive screening rules comprise: removing jewelry color, hardness or cutting range which is not tolerated by the physiology of the user based on the biological response parameters of the human body; Filtering jewelry types conflicting with a user cultural background based on the cultural territory index; And screening target jewelry through the matching degree of the psychological characteristic vector and the jewelry emotion symbolism.

Description

Visual activation progressive jewelry recommendation method Technical Field The invention relates to the field of artificial intelligence, in particular to a visual activation progressive jewelry recommendation method. Background In the jewelry consumption field, with the continuous rise of personalized demands, the user's choice of jewelry has not been limited to traditional rarity, place of production or aesthetic appearance evaluations. The jewelry is used as a special commodity with decorative, emotion-bearing and cultural symbolism meanings, and the individual difference and deep requirements of users are comprehensively considered in the recommendation process so as to realize accurate matching of the jewelry and people. Currently, the existing jewelry recommendation method mainly uses a western traditional evaluation system, takes physical properties (such as color, hardness and cutting) and rarity of jewelry as core evaluation standards, and provides recommendation for users by establishing a jewelry value evaluation model. Such methods typically use jewelry production, color purity, carat weight, etc. as the only dimensions to form standardized recommended logic, e.g., red, blue, green, etc. precious stones are commonly defined as "precious stones" and recommended preferentially. However, the prior art has the obvious defects that firstly, individual physiological characteristics of a user are completely ignored, such as sensitivity difference of different people to colors, physiological response of bodies to specific gemstones and the like, so that recommended jewelry possibly causes visual discomfort or physiological rejection of the user, secondly, influence of cultural regional factors on jewelry selection cannot be considered, such as differences in the symbolism of gemstones in different cultures (such as the auspicious meaning of jades in eastern cultures and the honour positioning of ruby stones in western cultures), conflict between recommendation results and user culture cognition is easily caused, thirdly, deep mining of psychological demands of the user is lacked, recommendation cannot be carried out by combining character characteristics, emotion preference and subconscious appeal (such as scene emotion associated characteristics, forward emotion associated characteristics and the like) of the user, and deep fitting of jewelry and the internal heart demands of the user is difficult to achieve. The limitations of the prior art make it difficult for the jewelry recommendation process to truly meet the personalized requirements of centering on users, and a novel recommendation method integrating the physiological characteristics, psychological requirements and cultural backgrounds of individuals is needed. Disclosure of Invention In order to solve the technical problems, the application provides a visual activation progressive jewelry recommendation method, which at least solves or alleviates the problems in the prior art. To achieve the above object, according to one aspect of the present application, there is provided a visual activation progressive jewelry recommendation method, comprising: Calculating the biological response parameters, psychological characteristic vectors and cultural regional indexes of the human body of the user; constructing a user personalized jewelry demand image based on the human biological response parameters, the psychological characteristic vector and the cultural regional index; And using the user personalized jewelry requirement image to carry out multidimensional matching in a jewelry feature database, and screening out target jewelry matched with a user. The scheme provided by the application has at least the following technical advantages: 1. solves the problem that the physiological characteristics of the individual are ignored, and improves the wearing suitability The prior art often causes recommended jewelry to cause visual discomfort or physiological rejection by ignoring individual physiological characteristics of the user (e.g., color sensitivity, physical physiological response). According to the scheme, physiological data such as spectral response range of eyes of a user to colors, galvanic skin response and the like are directly related by calculating the biological response parameters of the human body, and the color, hardness or cutting range of jewelry intolerant to the user is eliminated from a physiological layer. For example, a user sensitive to the red spectrum can automatically filter the high-concentration red precious stone, avoid visual stimulus, realize the recommended logic of 'physiological adaptation priority', and remarkably improve the wearing comfort and adaptability of jewelry. 2. Cultural regional factors are fused, and cultural cognitive conflict is avoided The traditional method does not consider the difference of the symbolic meanings of the precious stones in different cultures (such as the auspicious meaning of the ja