Delivery platforms introduce unique challenges for recommender systems, as they must optimize a digital experience under physical and operational constraints. Items are tied to specific locations with delivery radii, real-time inventory, and preparation times - signals absent in other recommendation domains. More funda...
Marcel Kurovski, Paavo Camps, Raghav Saboo· Proceedings of the 20th ACM...· 0 citations
Delivery platforms introduce unique challenges for recommender systems, as they must optimize a digital experience under physical and operational constraints. Items are tied to specific locations with delivery radii, real-time inventory, and preparation times - signals absent in other recommendation domains. More funda...
Marcel Kurovski, Paavo Camps, Raghav Saboo· Proceedings of the 20th ACM...· 0 citations
The results show that a shared semantic product hierarchy can support both recommendation and search while preserving the task-specific context required by each application.
Steven Xu, Sanjyot Thete, Saathvik Dirisala et al.· 0 citations
This work proposes Mine and Refine, a two-stage contrastive training framework that establishes a robust global embedding space via label-aware supervised contrastive learning, and substantially improves retrieval and end-to-end relevance metrics.
Jiaqi Xi, Raghav Saboo, Luming Chen et al.· 0 citations
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