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cs.IR2024
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay +1
In today's world of globalized commerce, cross-market recommendation systems (CMRs) are crucial for providing personalized user experiences across diverse market segments. However,…
cs.IR2024
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems
Begüm Özbay, Resul Tugay, Şule Gündüz Öğüdücü
Session-based recommendation systems aim to model users' interests based on their sequential interactions to predict the next item in an ongoing session. In this work, we present a…