Interior design data analysis based on collaborative filtering algorithm model

Libin Hou; Donghui Cui

doi:10.1117/12.2653190

20 October 2022 Interior design data analysis based on collaborative filtering algorithm model

Libin Hou, Donghui Cui

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 1235027 (2022) https://doi.org/10.1117/12.2653190
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

In order to shorten the time of interior design recommendation and quickly recommend interested interior design to users, an interior design data analysis technology based on collaborative filtering algorithm model is proposed. By analyzing the word segmentation of interior design, the weight distribution of collaborative filtering of interior design is analyzed. Carry out keyword feature selection and data analysis for interior design content. When the similar keywords in the data analysis are more than 35%, the interior design feature extraction based on collaborative filtering model will be completed. According to the initial score of the user's interior design, calculate the weight of the interior design, predict the final score of the user's interior design through the weight vector value, use the interior design data analysis to determine the implementation steps of the recommendation algorithm, and complete the design of the interior design recommendation algorithm model. Finally, through the interior design collaborative filtering recommendation model, we can achieve 100% interior design recommendation. The experimental results show that compared with the traditional recommendation technology, the indoor design recommendation time based on collaborative filtering algorithm is reduced by 80%.

Citation Download Citation

Libin Hou and Donghui Cui "Interior design data analysis based on collaborative filtering algorithm model", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 1235027 (20 October 2022); https://doi.org/10.1117/12.2653190

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