Application of recommendation algorithm combined with expert knowledge in apparel field

Youqun Shi; Fan Chen; Menghao Zhu; Ming Zhu

doi:10.1117/12.2642626

28 July 2022 Application of recommendation algorithm combined with expert knowledge in apparel field

Youqun Shi, Fan Chen, Menghao Zhu, Ming Zhu

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123031J (2022) https://doi.org/10.1117/12.2642626
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

A personalized clothing recommendation method based on expert knowledge is proposed to address the lack of comprehensive consideration of users' appearance characteristics and dressing occasions in current garment recommendation methods. An apparel recommendation knowledge base is designed to store complex heterogeneous data information in the apparel domain in a structured manner and establish semantic relationships between user characteristics and apparel characteristics labels. A forward chain knowledge reasoning method based on the certainty factor (CF) model is used to realize the intelligent recommendation of apparel in combination with expert rules. The experimental results show that the F-measure of the proposed recommendation method in this paper is significantly improved and has a high accuracy and practical value compared with the traditional recommendation method based on collaborative filtering.

Citation Download Citation

Youqun Shi, Fan Chen, Menghao Zhu, and Ming Zhu "Application of recommendation algorithm combined with expert knowledge in apparel field", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123031J (28 July 2022); https://doi.org/10.1117/12.2642626

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available