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PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Author(s) -
Minseok Kim,
Hwanjun Song,
Doyoung Kim,
Kijung Shin,
Jae-Gil Lee
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i5.16539
Subject(s) - weighting , computer science , benchmark (surveying) , recommender system , scheme (mathematics) , meta learning (computer science) , artificial intelligence , point of interest , data mining , point (geometry) , metamodeling , machine learning , metadata , information retrieval , world wide web , mathematics , medicine , mathematical analysis , geometry , geodesy , programming language , radiology , task (project management) , geography , management , economics

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