Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction
Click-through rate (CTR) prediction is an essential task in web applications such as online
advertising and recommender systems, whose features are usually in multi-field form. The …
advertising and recommender systems, whose features are usually in multi-field form. The …
A review of explainable fashion compatibility modeling methods
K Selwon, J Szymański - ACM Computing Surveys, 2024 - dl.acm.org
The paper reviews methods used in the fashion compatibility recommendation domain. We
select methods based on reproducibility, explainability, and novelty aspects and then …
select methods based on reproducibility, explainability, and novelty aspects and then …
A knowledge-sharing semi-supervised approach for fashion clothes classification and attribute prediction
Fashion is a form of self-expression that permits us to manifest our personality and identity
with more confidence. Visual fashion clothing analysis has attracted researchers who have …
with more confidence. Visual fashion clothing analysis has attracted researchers who have …
Learning compatibility knowledge for outfit recommendation with complementary clothing matching
R Wang, J Wang, Z Su - Computer Communications, 2022 - Elsevier
With the rapid development of mobile networks and e-commerce, clothing recommendation
has achieved considerable success in recent years. Fashion outfit matching has become an …
has achieved considerable success in recent years. Fashion outfit matching has become an …
MCCP: multi-modal fashion compatibility and conditional preference model for personalized clothing recommendation
Y Wang, L Liu, X Fu, L Liu - Multimedia Tools and Applications, 2024 - Springer
Personalized clothing recommendation remains challenging due to the richness of fashion
item representations, the non-uniqueness of fashion compatibility relationship and the …
item representations, the non-uniqueness of fashion compatibility relationship and the …
Multi-order attributes information fusion via hypergraph matching for popular fashion compatibility analysis
Popular fashion compatibility modeling aims to quantitatively assess the compatibility of a
set of wearable items for everyday pairings and clothing purchases to assist human decision …
set of wearable items for everyday pairings and clothing purchases to assist human decision …
Consistency Regularization for Complementary Clothing Recommendations
This paper reports on the development of a Consistency Regularized model for Bayesian
Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary …
Personalized Ranking (CR-BPR), addressing to the drawbacks in existing complementary …
Real-time clothing detection networks for surveillance videos
Real-time clothing recognition is a useful technique for describing individuals from the video
stream captured by surveillance cameras. In most cases, surveillance cameras are shot from …
stream captured by surveillance cameras. In most cases, surveillance cameras are shot from …
CTR prediction model using xdeepfm and bayesian optimization
Y Zhang - 2021 IEEE International Conference on Computer …, 2021 - ieeexplore.ieee.org
With the development of internet, increasing people tends to consume online, which is
convenient and timesaving. Taobao is the largest online shopping site in China. In this …
convenient and timesaving. Taobao is the largest online shopping site in China. In this …
[PDF][PDF] 1 Fashion Analysis towards Clothing Matching
Z Li - leezekun.github.io
Nowadays, as beauty-enhancing product, fashion items play an important role in human's
social life. In fact, the key to a proper outfit usually lies in the harmonious clothing matching …
social life. In fact, the key to a proper outfit usually lies in the harmonious clothing matching …