7 citations · 18 across the 3 of their papers we have counts for
4 papers
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry
Seyed Omid Mohammadi, Ahmad Kalhor
The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications i…
Single-Item Fashion Recommender: Towards Cross-Domain Recommendations
Seyed Omid Mohammadi, Hossein Bodaghi, Ahmad Kalhor
Nowadays, recommender systems and search engines play an integral role in fashion e-commerce. Still, many challenges lie ahead, and this study tries to tackle some. This article fi…
K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters
Seyed Omid Mohammadi, Ahmad Kalhor, Hossein Bodaghi
This paper introduces k-splits, an improved hierarchical algorithm based on k-means to cluster data without prior knowledge of the number of clusters. K-splits starts from a small…
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
Meysam Varasteh, Mehdi Soleiman Nejad, Hadi Moradi +2
One of the main challenges in recommender systems is data sparsity which leads to high variance. Several attempts have been made to improve the bias-variance trade-off using auxili…