88 citations · 108 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
End-to-End Image-Based Fashion Recommendation
Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme
In fashion-based recommendation settings, incorporating the item image features is considered a crucial factor, and it has shown significant improvements to many traditional models…
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-…
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG
Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed +8
Machine learning is being widely adapted in industrial applications owing to the capabilities of commercially available hardware and rapidly advancing research. Volkswagen Financia…