4 papers
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…
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…
Rs4rs: Semantically Find Recent Publications from Top Recommendation System-Related Venues
Tri Kurniawan Wijaya, Edoardo D'Amico, Gabor Fodor +1
Rs4rs is a web application designed to perform semantic search on recent papers from top conferences and journals related to Recommender Systems. Current scholarly search engine to…
RBoard: A Unified Platform for Reproducible and Reusable Recommender System Benchmarks
Xinyang Shao, Edoardo D'Amico, Gabor Fodor +1
Recommender systems research lacks standardized benchmarks for reproducibility and algorithm comparisons. We introduce RBoard, a novel framework addressing these challenges by prov…