14 citations · 20 across the 5 of their papers we have counts for
5 papers
Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
Shereen Elsayed, Ngoc Son Le, Ahmed Rashed +1
Attribute-aware sequential recommendation entails predicting the next item a user will interact with based on a chronologically ordered history of past interactions, enriched with…
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
In the context of recommendation systems, addressing multi-behavioral user interactions has become vital for understanding the evolving user behavior. Recent models utilize techniq…
Context-Aware Sequential Model for Multi-Behaviour Recommendation
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
Sequential recommendation models are crucial for next-item recommendations in online platforms, capturing complex patterns in user interactions. However, many focus on a single beh…
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…
Do We Really Need Deep Learning Models for Time Series Forecasting?
Shereen Elsayed, Daniela Thyssens, Ahmed Rashed +2
Time series forecasting is a crucial task in machine learning, as it has a wide range of applications including but not limited to forecasting electricity consumption, traffic, and…