2 papers
cs.IR2025
A Hybrid Multimodal Deep Learning Framework for Intelligent Fashion Recommendation
Kamand Kalashi, Babak Teimourpour
The rapid expansion of online fashion platforms has created an increasing demand for intelligent recommender systems capable of understanding both visual and textual cues. This pap…
cs.SI2024
Sentiment-Driven Community Detection in a Network of Perfume Preferences
Kamand Kalashi, Sajjad Saed, Babak Teimourpour
Network analysis is increasingly important across various fields, including the fragrance industry, where perfumes are represented as nodes and shared user preferences as edges in…