Movie Recommendations powered by Knowledge Graphs and Neo4j buff.ly/35smGQJ

A completely new dataset, MindReader, based on #KnowledgeGraphs, with explicit ratings on non-recommendable items, such as actors and genres! mindreader.tech/dataset/ Will be presented at CIKM2020 October 22, 7 am CEST: tinyurl.com/cikm2020 #recsys #datasets #cikm2020

Tomorrow at 8 CEST, I'll present a new dataset with explicit ratings on non-recommendable items CIKM2020, remember to tune in or read it at doi.org/10.1145/334053…

have you ever used tools to extract schemas from Knowledge Graphs? If yes, please spare 2 minutes to fill an anonymous survey, only 1 mandatory question, and please feel free to share with your colleagues! forms.gle/rcsUtteW6Rndwp… #graphs #schema #semanticWeb

Congratulating M. Lissandrini on his promotion as Assistant Professor 🎉 #SurpriseDinnerParty #AAU #FlammenAalborg

Today will be #ThrowbackThursday I've spent the last half year in Singapore at Singapore Management University with the lovely preferred.ai team as part of my Ph.D. (1/6)

Last night I went to the second ever RecSys DK event, which Wunderman kindly hosted! RecSys DK is for people in Denmark from both academia and industry who are interested in recommendation systems. (1/3)

Yeah, but it also depends a lot on *what* graph are you using. This is indeed true for *most* tasks, not all, so a big question is which tasks can do better? @tj45794. Presented at KaRS Workshop @ RecSys 2024 Yesterday our work on inductive recommendations Preprint arxiv.org/abs/2209.04185

I finally got to present my work at KaRS Workshop @ RecSys 2024! Using KG information and gated GNNs for inductive recommendation. You can find the paper and implementation of our method at github.com/theisjendal/ka… #RecSys2023 #KaRS2023

A comprehensive overview of KG embeddings is now available at drops.dagstuhl.de/entities/docum……, published TGDK with Lucie-Aimée Kaffee Michael Cochez Stefania Dumbrava (@sdumbrava.bsky.social) Theis Jendal M. Lissandrini vanessa lopez Eneldo Mencìa Heiko Paulheim Harald Sack Edlira Vakaj Gerard

Matteo Lissandrini and Enrico Gallinucci at the opening of the DOLAP workshop M. Lissandrini DOLAP (2025 ed.) EDBT/ICDT 2024

Just presented my paper "Hypergraphs with Attention on Reviews for Explainable Recommendation" at ECIR2024 which is available at tinyurl.com/hypar-ecir24! Written with Trung-Hoang Le, Hady W. Lauw, M. Lissandrini, Peter Dolog, and Katja Hose.