2 papers
cs.IR2025
Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
Danial Ebrat, Sepideh Ahmadian, Luis Rueda
Recommender systems often struggle with data sparsity and cold-start scenarios, limiting their ability to provide accurate suggestions for new or infrequent users. This paper prese…
cs.IR2025
End-to-End Personalization: Unifying Recommender Systems with Large Language Models
Danial Ebrat, Tina Aminian, Sepideh Ahmadian +1
Recommender systems are essential for guiding users through the vast and diverse landscape of digital content by delivering personalized and relevant suggestions. However, improvin…