88 citations · 108 across the 8 of their papers we have counts for
Showing 2022 · cs.IRShow all
2 papers · 2 filters
cs.IR2022
Deep Multi-Representation Model for Click-Through Rate Prediction
Shereen Elsayed, Lars Schmidt-Thieme
Click-Through Rate prediction (CTR) is a crucial task in recommender systems, and it gained considerable attention in the past few years. The primary purpose of recent research emp…
cs.IR2022★ 88 cited
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
In sparse recommender settings, users' context and item attributes play a crucial role in deciding which items to recommend next. Despite that, recent works in sequential and time-…