Ruprecht-Karls-Universität Heidelberg
Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg
Siegel der Uni Heidelberg

Title: Hyperbolic Knowledge Graph Embeddings for User Interests

Speaker: Federico López (HITS)


Generating recommendations with a knowledge graph as side information has attracted considerable interest in recent years. Such an approach can not only alleviate data sparsity and cold start issues for a more precise recommendation but also provide explanations for recommended items. In this talk, we propose a knowledge graph-based recommender system that operates in hyperbolic space. The model combines expressive operators to exploit multiple relations between the items. Moreover, it learns personalized preferences to provide accurate and explainable recommendations for each user. We present results on two datasets and different by-products derived from the application of hyperbolic geometry.
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