no code implementations • 15 Apr 2020 • Chien-Chun Ni, Kin Sum Liu, Nicolas Torzec
In this paper, we describe an embedding-based entity recommendation framework for Wikipedia that organizes Wikipedia into a collection of graphs layered on top of each other, learns complementary entity representations from their topology and content, and combines them with a lightweight learning-to-rank approach to recommend related entities on Wikipedia.