2 papers
cs.IR2024
How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
Oliver Baumann, Durgesh Nandini, Anderson Rossanez +2
Traditional recommendation proposals, including content-based and collaborative filtering, usually focus on similarity between items or users. Existing approaches lack ways of intr…
cs.CL2023
Curricular Transfer Learning for Sentence Encoded Tasks
Jader Martins Camboim de Sá, Matheus Ferraroni Sanches, Rafael Roque de Souza +2
Fine-tuning language models in a downstream task is the standard approach for many state-of-the-art methodologies in the field of NLP. However, when the distribution between the so…