Shereen Elsayed

Orcid: 0009-0006-9030-5597

According to our database1, Shereen Elsayed authored at least 14 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
An inter- and intra-attention model for multi-behavior recommendation.
Int. J. Data Sci. Anal., November, 2025

Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

Attribute-Aware Sequential Recommendation Model for Used Car Auctions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

2024
Learning Set Embeddings for Fashion Compatibility Recommendation.
Proceedings of the Workshop on Strategic and Utility-aware REcommendations (SURE 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Multi-Behavioral Sequential Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Context-Aware Sequential Model for Multi-Behaviour Recommendation.
CoRR, 2023

Deep Multi-Representation Model for Click-Through Rate Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
End-to-End Image-Based Fashion Recommendation.
CoRR, 2022

CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention.
CoRR, 2022

A.I. and Data-Driven Mobility at Volkswagen Financial Services AG.
CoRR, 2022

Context and Attribute-Aware Sequential Recommendation via Cross-Attention.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
Do We Really Need Deep Learning Models for Time Series Forecasting?
CoRR, 2021

2020
Exploring the Influence of Data Aggregation in Parking Prediction.
Proceedings of the Database and Expert Systems Applications, 2020


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