most citediMARS: An In-Memory-Computing Architecture for Recommendation Systems

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AR2022★ 1 cited

iMARS: An In-Memory-Computing Architecture for Recommendation Systems

Mengyuan Li, Ann Franchesca Laguna, Dayane Reis +3

Recommendation systems (RecSys) suggest items to users by predicting their preferences based on historical data. Typical RecSys handle large embedding tables and many embedding tab…