TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Su, Xueping
A1  - Gao, Meng
A1  - Ren, Jie
A1  - Li, Yunhong
A1  - Rätsch, Matthias
T1  - Personalized clothing recommendation based on user emotional analysis
JF  - Discrete dynamics in nature and society : an international multidisciplinary research and review journal
N2  - With the continuous development of economy, consumers pay more attention to the demand for personalization clothing. However, the recommendation quality of the existing clothing recommendation system is not enough to meet the user’s needs. When browsing online clothing, facial expression is the salient information to understand the user’s preference. In this paper, we propose a novel method to automatically personalize clothing recommendation based on user emotional analysis. Firstly, the facial expression is classified by multiclass SVM. Next, the user’s multi-interest value is calculated using expression intensity that is obtained by hybrid RCNN. Finally, the multi-interest value is fused to carry out personalized recommendation. The experimental results show that the proposed method achieves a significant improvement over other algorithms.
Y1  - 2020
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-30648
SN  - 1026-0226
SS  - 1026-0226
U6  - https://doi.org/10.1155/2020/7954393
DO  - https://doi.org/10.1155/2020/7954393
VL  - 2020
IS  - Cognitive Modeling of Multimodal Data Intensive Systems for Applications in Nature and Society (COMDICS)
SP  - 1
EP  - 8
S1  - 8
PB  - Taylor & Francis
CY  - London
ER  -