17 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions
Theis E. Jendal, Matteo Lissandrini, Peter Dolog +1
Using graph models with relational information in recommender systems has shown promising results. Yet, most methods are transductive, i.e., they are based on dimensionality reduct…
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
Anders H. Brams, Anders L. Jakobsen, Theis E. Jendal +3
Knowledge Graphs (KGs) have been integrated in several models of recommendation to augment the informational value of an item by means of its related entities in the graph. Yet, ex…
Improving Explainable Recommendations with Synthetic Reviews
Sixun Ouyang, Aonghus Lawlor, Felipe Costa +1
An important task for a recommender system to provide interpretable explanations for the user. This is important for the credibility of the system. Current interpretable recommende…