30 citations · 57 across the 7 of their papers we have counts for
7 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…
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…
Automatic Generation of Natural Language Explanations
Felipe Costa, Sixun Ouyang, Peter Dolog +1
An important task for recommender system is to generate explanations according to a user's preferences. Most of the current methods for explainable recommendations use structured s…
A Personalized Tag-Based Recommendation in Social Web Systems
Frederico Durao, Peter Dolog
Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags the…
Semantic Grounding Strategies for Tagbased Recommender Systems
Frederico Durao, Peter Dolog
Recommender systems usually operate on similarities between recommended items or users. Tag based recommender systems utilize similarities on tags. The tags are however mostly free…
Personalized Event-Based Surveillance and Alerting Support for the Assessment of Risk
Avaré Stewar, Ricardo Lage, Ernesto Diaz-Aviles +1
In a typical Event-Based Surveillance setting, a stream of web documents is continuously monitored for disease reporting. A structured representation of the disease reporting event…