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Published in 2022 at "Communications of the ACM"
DOI: 10.1145/3505266
Abstract: detailed data gathering, the number of participants is necessarily very limited, many orders of magnitude less than what would be considered necessary to train today’s state-of-the-art recommendation algorithms. Instead, the authors engaged in a sensitive…
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Keywords:
recommendation pois;
research;
pois people;
personalized recommendation ... See more keywords