I am a computer scientist from Aalborg University, working on recommender systems.

Publications

The Limits of Graph Samplers for Training Inductive Recommender Systems

T.E. Jendal, M. Lissandrini, P. Dolog, K. Hose, "The Limits of Graph Samplers for Training Inductive Recommender Systems," in VLDB, 2025

Handling New Users and Items: A Comparative Study of Inductive Recommenders

T.E. Jendal, M. Lissandrini, P. Dolog, K. Hose, "Handling new users and items: a comparative study of inductive recommenders," in Data Min. Knowl. Disc., 2025

Hypergraphs with Attention on Reviews for Explainable Recommendation

T.E. Jendal, TH. Le, H.W. Lauw, M. Lissandrini, P. Dolog, K. Hose, "Hypergraphs with Attention on Reviews for Explainable Recommendation," in ECIR, 2024

Knowledge graph embeddings: open challenges and opportunities

R. Biswas, L.A. Kaffee, M. Cochez, S. Dumbrava, T.E. Jendal, et al.. "Knowledge graph embeddings: open challenges and opportunities," in TGDK, 2023

GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs

T. E. Jendal, M. Lissandrini, P. Dolog, and K. Hose, “GInRec: A gated architecture for inductive recommendation using knowledge graphs,” in KaRS, 2023.

MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings

A. H. Brams*, A. L. Jakobsen*, T. E. Jendal*, M. Lissandrini, P. Dolog, and K. Hose, “Mindreader: Recommendation over knowledge graph entities with explicit user ratings,” in CIKM, 2020
* Equal contribution