Virtual fitting room implementation method based on user model and collaborative filtering algorithm

Abstract

The invention belongs to the field of multimedia information processing, improves the purchase experience of a user and performs similarity recommendation through a network virtual fitting room and a collaborative filtering algorithm, and particularly relates to a virtual fitting room implementation method based on a user model and the collaborative filtering algorithm. According to the method, body three-dimensional data of a user and attribute data of a commodity are collected and stored in a user database and a commodity database respectively, modeling is performed on the user and the commodity by using 3dmax, and after the user selects a specific commodity, a commodity model with a corresponding attribute is found from the database and is combined with a user model for imaging, so that the user experience is improved. And then the user can feed back the commodity by using'favorite 'or'disfavorite', and the system can recommend the commodity according to the preference of the user after obtaining the feedback information of the user. According to the invention, the use and feedback of commodities are conveniently completed through the virtual fitting room, and the purchase experience of the user is improved.

Description

technical field [0001] The invention belongs to the field of multimedia information processing, and improves the user's purchase experience and recommendation through a network virtual fitting room and a collaborative filtering algorithm. Background technique [0002] At present, the product display on the online shopping platform is to hire a third-party professional organization to complete the display and promotion of the product. Because the user cannot see the effect of the product used by himself like the purchase of the product in the physical store, and due to the limitations of space and time, the user You can only use the products in the shopping mall or store where you are located, but you cannot choose the rest of the products for trial, resulting in limited purchases, and there is no result of system recommendation, so there are often difficulties in choosing or even giving up the purchase; in terms of transportation costs, due to the user Lack of direct observa...

AI Technical Summary

Problems solved by technology

[0002] At present, the product display of the online shopping platform is to hire a third-party professional organization to complete the display and promotion of the product. Because the user cannot see the effect of using the product like buying the product in the physical store, and due to the limitation of space and time, the user You can only use the products in the shopping mall or store where you are located, but you cannot choose other products for trial, resulting in limitations in purchases. At the same time, there is no system recommendation result, so it is often difficult to choose or even give up the possibility of buying; in terms of transportation costs, due to user Lack of direct observation of the effect of the product, resulting in the application for return of the product that does not meet the user's expected effect, resulting in a waste of logistics and transportation resources; due to the lack of understanding of the user's preferences and the similarity of the product, the store can only use its own intuition To evaluate and recommend, lack of certain statistics and scientific, so often make users more confused, and thus give up buying

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