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HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation
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Year:
2024
Type:
conference-paper
Source:
Lecture notes in computer science
DOI:
10.1007/978-981-97-2262-4_11
Authors:
Shereen Elsayed,
Ahmed Rashed,
Lars Schmidt-Thieme
Institutions:
University of Hildesheim,
Volkswagen Financial Services (Germany)
Language:
English
Topic:
Recommender Systems and Techniques
Subfield:
Information Systems
Field:
Computer Science
Domain:
Physical Sciences
Open Access status:
green
OpenAlex ID:
W4395094576
FWCI:
2.314
Cites:
18
Cited by:
6
Related to:
10