… hyperbolic geometry is a more suitable underlying geometry for many recommendation systems
… demonstrate the viability of hyperbolic geometry for recommender systems, showing that …

… However, we observe that different scaling variable c would effect the performance differently
in practice, which should be set carefully for each dataset. In fact, with c carries values from …

… are known to be tightly connected to a hyperbolic geometry [14]. This fundamental …
recommender systems [5, 27]. In this work, we tackle the problem of hyperbolic recommender …

… We demonstrate empirically that the proposed hyperbolic … that hyperbolic contextual
situations lead to better context-aware recommendations in terms of standard recommendation …

… of hyperbolic geometry to collaborative filtering tasks, we propose a novel approach that
leverages hyperbolic … a linear predictor in the non-linear hyperbolic space, which increases the …

… item recommender systems, in contrast to the previous findings on recommendation tasks
without visual features that hyperbolic … where τ is a scaling factor (the larger the value is, the …

… accurate and efficient hyperbolic embeddings for real-world recommender systems. The first
… recommendation datasets exhibit hierarchical or tree-like structures suitable for hyperbolic …

… , there is no interpretable hyperbolic recommender system. … choose three hyperbolic
recommender systems HGCF [27… It is worth noting that existing hyperbolic recommendation …

… hyperbolic learning for recommender systems, such as [5… 65] embed users and items into
hyperbolic space for recommending the … GeoMF++: Scalable location recommendation via joint …

… enhance the performance of recommender systems. In this paper, we explore the use …
hyperbolic geometry for social recommendation. We present the Hyperbolic Social Recommender …