Parameterisation of Reasoning on Temporal Markov Logic Networks

no code implementations • 29 Nov 2022 • Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers

We aim at improving reasoning on inconsistent and uncertain data.

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree

no code implementations • 26 Aug 2021 • Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'niehotta, Nicolas Audebert

Web Image Context Extraction (WICE) consists in obtaining the textual information describing an image using the content of the surrounding webpage.

Sentence Sentence Embeddings

Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity

1 code implementation • 7 Nov 2020 • Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta

We evaluate the effect of different parts of a HIN on the accuracy and the diversity of recommendations, then investigate if these effects are only due to the semantic content encoded in the network.

Recommendation Systems