17 citations · 17 across the 3 of their papers we have counts for
3 papers
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…
A Foundation for Spatio-Textual-Temporal Cube Analytics (Extended Version)
Mohsin Iqbal, Matteo Lissandrini, Torben Bach Pederse
Large amounts of spatial, textual, and temporal data are being produced daily. This is data containing an unstructured component (text), a spatial component (geographic position),…