Algorithm for automatically matching furniture with furniture can be realized according to a decoration process

Abstract

The invention relates to the technical field of computer application and discloses an algorithm for automatically matching furniture with furniture can be realized according to a decoration process. The algorithm comprises the following steps that (1) an owner publishes decoration requirements in the system, and publishes decoration styles, decoration types, living habits, decoration forecast prices and other decorations of the owner in the system for publicizing to wait for a designer to design a decoration design scheme for the owner; The invention discloses an algorithm capable of automatically matching furniture with furniture according to a decoration process. the algorithm fuses the requirements of owners; Design conditions for designers, three aspects of material production, inventory and the like of merchants are provided; Multi-angle quality consideration, The product recommendation method has the advantages that the price, the safety, the credit degree, the after-sales service and the like are automatically matched to meet the preference requirements of the proprietor, the preference degree and the requirements of the proprietor on the decoration materials are automatically analyzed through data analysis, deep learning and according to working hours and material market data, it is guaranteed that the recommended product meets the requirements of the proprietor, and therefore the business professionality and the proprietor satisfaction are improved.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to an algorithm capable of automatically matching furniture and furniture according to a decoration process. Background technique [0002] Automatic matching refers to a system that can recommend information or objects that users may like (such as movies, music, books, news and pictures, etc.) to users. Users are automatically matched with products that they are interested in and meet their needs. It is self-evident for the value of enterprises and users. Combining the traces of users' browsing, favorite graphics, favorite articles, and historical views, etc., strive to match things that are more in line with User preferences, automatic matching to recommend content to users is mainly realized by algorithms, automatic matching is the core and most critical part of the entire algorithm system, and its performance determines the quality of the algorithm system. [0003]...

AI Technical Summary

Problems solved by technology

Multi-angle consideration of quality, price, safety, credit and after-sales service, etc. automatically match the advantages of meeting the owner's preferences and needs, and solve the problem that some existing decoration companies on the market will draw a design based on the size of the owner's house and the idea of ​​​​the owner's decoration style. One or several renderings of the overall house, and when these renderings are presented in front of the owner, since the owner can only see the finished effect through the renderings, this effect is only set based on the style preference described by the owner. It is not sure whether it is comfortable for the owner to live in, and it is impossible to know whether it can satisfy the customer in the selection of materials.