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Optimizing Offer Sets in Sub-Linear Time
[article]
2020
arXiv
pre-print
Personalization and recommendations are now accepted as core competencies in just about every online setting, ranging from media platforms to e-commerce to social networks. While the challenge of estimating user preferences has garnered significant attention, the operational problem of using such preferences to construct personalized offer sets to users is still a challenge, particularly in modern settings where a massive number of items and a millisecond response time requirement mean that
arXiv:2011.08606v1
fatcat:4lorwousdfdozl4cyq5w7x3erq