2 papers
cs.IR2025
The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results
Theis E. Jendal, Matteo Lissandrini, Peter Dolog +1
Inductive Recommender Systems are capable of recommending for new users and with new items thus avoiding the need to retrain after new data reaches the system. However, these metho…
cs.AI2024
Semantic Web: Past, Present, and Future (with Machine Learning on Knowledge Graphs and Language Models on Knowledge Graphs)
Ansgar Scherp, Gerd Groener, Petr Škoda +2
Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations. Semantic technologies have been used to share vast amounts of information on th…