Abdulla Alshabanah

According to our database, Abdulla Alshabanah authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning.

Abdulla Alshabanah, Keshav Balasubramanian, Murali Annavaram

Proc. Priv. Enhancing Technol., 2025

LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models.

Chaoyi Jiang, Abdulla Alshabanah, Murali Annavaram

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

On Using Arabic Language Dialects in Recommendation Systems.

Abdulla Alshabanah, Murali Annavaram

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

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

Hossein Entezari Zarch, Abdulla Alshabanah, Chaoyi Jiang, Murali Annavaram

CoRR, 2024

Biased User History Synthesis for Personalized Long-Tail Item Recommendation.

Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2021

cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models.

Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021