A personalized product concept design method with user participation

Abstract

The invention discloses a user-participated personalized product conceptual design method. The method provides users with more evolutionary individuals at the stage when the user is unfamiliar with the evaluation object, and gradually reduces the population size as the user's cognition becomes clear. , thereby speeding up the user's cognitive process and reducing the noise caused by cognitive blurring. In order to obtain and predict user preferences more accurately, block collaborative analysis is used to analyze users' preferences for attribute combinations in the process of population evolution, and user-based collaborative filtering recommendation algorithm is used to analyze users' preferences for individual attributes. The analyzed preferences can speed up the population. Convergence to reduce noise due to user fatigue. The algorithm effectively solves the problem of individual evaluation drift caused by incomplete user cognition, improves the accuracy of customer demand acquisition, effectively shortens user evaluation time, relieves user fatigue, and provides accurate and effective product design according to user needs. Design prototypes.

Description

technical field [0001] The invention relates to the technical field of product design, in particular to a user-participated personalized product conceptual design method. Background technique [0002] With the development of my country's economy, people's material life has been greatly enriched, and their aesthetic ability has gradually improved. Customers have higher requirements for product appearance, performance configuration, etc., especially the new generation of young Chinese groups. Their needs are constantly improving, even reaching the highest level of self-realization. More and more people want to show their individuality more, which makes them more willing to choose personalized products with their own style. Commodities that express self-emotion have become a major trend in the future. Therefore, modern enterprises need to realize the importance of customer-centricity, pay attention to the individual needs of customers, analyze the emotional demands of customers,...

AI Technical Summary

Problems solved by technology

[0006] However, there are two general problems in the methods proposed so far: one is that the participation of customers is not high, which leads to incomplete analysis of user needs, and it is impossible to describe the products that users are most satisfied with; the other is that customers The needs of the industry are constantly changing due to various factors, and the existing methods cannot capture these changes in time

However, in the interactive genetic algorithm, there are deficiencies in the initial customer cognition incompleteness, which leads to individual evaluation drift and user fatigue. How to use the interactive genetic algorithm for product personalized design, and how to improve the algorithm to alleviate the shortcomings of the algorithm have become the direction of research.

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