To understand if the learned user embeddings reflect actual email correspondence, we study the relation between the similarity of users' embeddings and the frequency they communicate.
for each target user u i , we first identify all others {u j | j =i } that he/she has had communications with, and then bucket the cosine similarity between their embeddings into intervals.