Towards Exploiting Implicit Human Feedback for Improving RDF2vec EmbeddingsCopyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Table 3: Results of the ItemKNN approach on Movielens dataset
['Strategy', 'Precision', 'Recall', 'F1']
It can be observed that the results incorporating human feedback outperform both the default RDF2vec approach as well as the three variants using graph-internal weights.