Abdulla Alshabanah

Orcid: 0009-0009-7619-874X

According to our database1, Abdulla Alshabanah authored at least 8 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025
Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning.
Proc. Priv. Enhancing Technol., 2025

LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

On Using Arabic Language Dialects in Recommendation Systems.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data.
CoRR, 2024

Biased User History Synthesis for Personalized Long-Tail Item Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2021
cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021


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