2 papers
cs.IR2025
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
Tri Kurniawan Wijaya, Xinyang Shao, Gonzalo Fiz Pontiveros +1
Recommender systems are pivotal in delivering personalized experiences across industries, yet their adoption and scalability remain hindered by the need for extensive dataset- and…
cs.IR2025
Dataset-Agnostic Recommender Systems
Tri Kurniawan Wijaya, Edoardo D'Amico, Xinyang Shao
Recommender systems have become a cornerstone of personalized user experiences, yet their development typically involves significant manual intervention, including dataset-specific…