Personalized Clothing Recommendation Based on User Emotional Analysis
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 sali...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/7954393 |
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| _version_ | 1832556921439125504 |
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| author | Xueping Su Meng Gao Jie Ren Yunhong Li Matthias Rätsch |
| author_facet | Xueping Su Meng Gao Jie Ren Yunhong Li Matthias Rätsch |
| author_sort | Xueping Su |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-df90e199789946a0acee24f0755ba426 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-df90e199789946a0acee24f0755ba4262025-02-03T05:44:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/79543937954393Personalized Clothing Recommendation Based on User Emotional AnalysisXueping Su0Meng Gao1Jie Ren2Yunhong Li3Matthias Rätsch4School of Electronics and Information, Xi’an Polytechnic University, Xi’an710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an710048, ChinaInteractive and Mobile Robotics and Artificial Intelligence, Department of Engineering, Reutlingen University, Reutlingen, GermanyWith 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.http://dx.doi.org/10.1155/2020/7954393 |
| spellingShingle | Xueping Su Meng Gao Jie Ren Yunhong Li Matthias Rätsch Personalized Clothing Recommendation Based on User Emotional Analysis Discrete Dynamics in Nature and Society |
| title | Personalized Clothing Recommendation Based on User Emotional Analysis |
| title_full | Personalized Clothing Recommendation Based on User Emotional Analysis |
| title_fullStr | Personalized Clothing Recommendation Based on User Emotional Analysis |
| title_full_unstemmed | Personalized Clothing Recommendation Based on User Emotional Analysis |
| title_short | Personalized Clothing Recommendation Based on User Emotional Analysis |
| title_sort | personalized clothing recommendation based on user emotional analysis |
| url | http://dx.doi.org/10.1155/2020/7954393 |
| work_keys_str_mv | AT xuepingsu personalizedclothingrecommendationbasedonuseremotionalanalysis AT menggao personalizedclothingrecommendationbasedonuseremotionalanalysis AT jieren personalizedclothingrecommendationbasedonuseremotionalanalysis AT yunhongli personalizedclothingrecommendationbasedonuseremotionalanalysis AT matthiasratsch personalizedclothingrecommendationbasedonuseremotionalanalysis |