21 citations · 21 across the 1 of their papers we have counts for
2 papers
cs.IR2019★ 21 cited
Scalable Hyperbolic Recommender Systems
Benjamin Paul Chamberlain, Stephen R. Hardwick, David R. Wardrope +3
We present a large scale hyperbolic recommender system. We discuss why hyperbolic geometry is a more suitable underlying geometry for many recommendation systems and cover the fund…
stat.ML2018
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
In this paper, we describe a solution to tackle a common set of challenges in e-commerce, which arise from the fact that new products are continually being added to the catalogue.…