HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation

Shereen H. Elsayed; Ahmed Nabih Zaki Rashed; Lars Schmidt-Thieme

doi:10.1007/978-981-97-2262-4_11

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HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation

Shereen H. Elsayed Ahmed Nabih Zaki Rashed Lars Schmidt-Thieme

Year: 2024 Lecture notes in computer science Pages: 131-143 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-97-2262-4_11

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Keywords:

Computer science ENCODE Attention network Ranking (information retrieval) Context (archaeology) Task (project management) Code (set theory) Artificial intelligence Machine learning

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

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Physical Sciences → Computer Science → Artificial Intelligence

HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation

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