Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms
Y Assylbekov, R Bali, L Bovard, C Klaue - Proceedings of the 17th ACM …, 2023 - dl.acm.org
Y Assylbekov, R Bali, L Bovard, C Klaue
Proceedings of the 17th ACM Conference on Recommender Systems, 2023•dl.acm.orgIn this paper we propose Delivery Hero Recommendation Dataset (DHRD), a novel real-
world dataset for researchers. DHRD comprises over a million food delivery orders from
three distinct cities, encompassing thousands of vendors and an extensive range of dishes,
serving a combined customer base of over a million individuals. We discuss the challenges
associated with such real-world datasets. By releasing DHRD, researchers are empowered
with a valuable resource for building and evaluating recommender systems, paving the way …
world dataset for researchers. DHRD comprises over a million food delivery orders from
three distinct cities, encompassing thousands of vendors and an extensive range of dishes,
serving a combined customer base of over a million individuals. We discuss the challenges
associated with such real-world datasets. By releasing DHRD, researchers are empowered
with a valuable resource for building and evaluating recommender systems, paving the way …
In this paper we propose Delivery Hero Recommendation Dataset (DHRD), a novel real-world dataset for researchers. DHRD comprises over a million food delivery orders from three distinct cities, encompassing thousands of vendors and an extensive range of dishes, serving a combined customer base of over a million individuals. We discuss the challenges associated with such real-world datasets. By releasing DHRD, researchers are empowered with a valuable resource for building and evaluating recommender systems, paving the way for advancements in this domain.
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