Graph Enhanced Feature Engineering for Privacy Preserving Recommendation Systems
C Xue, X Wang, Y Zhou, P Palangappa… - Proceedings of the …, 2023 - dl.acm.org
This paper presents a solution for RecSys Challenge 2023 which leverages 1) a novel
feature classification method to categorize anonymous features into distinct groups and …
feature classification method to categorize anonymous features into distinct groups and …
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems
B Özbay, DR Tugay, P Öğüdücü, Ş Gündüz - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
sequential interactions to predict the next item in an ongoing session. In this work, we …
Analýza multi-stage rekomendačních systémů
K Bruno - 2023 - dspace.cvut.cz
Tato práce provádí studii doporučovacích systémů se speciálním zaměřením na multi-stage
doporučovací systémy. Práce zkoumá komplexní problematiku těchto systémů a zkoumá …
doporučovací systémy. Práce zkoumá komplexní problematiku těchto systémů a zkoumá …