This problem differs from traditional entity ranking (Kang et al., 2015) in that the entity rankings are driven by user queries and are optimized to their (ad-hoc) information needs, while entity relatedness ranking also aims to uncover the meanings of the the relatedness from the data.
while conventional entity semantic relatedness learns from data (editors or content providers' perspectives), and entity ranking learns from the user's perspective, the entity relatedness ranking takes the tradeoff between these views.