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Exploiting Human Mobility Patterns for Point-of-Interest Recommendation
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018Point-of-interest (POI) recommendation, which provides personalized recommendation of places to mobile users, is an important task in location-based social networks (LBSNs). Unlike traditional interest-oriented merchandise recommendation, POI recommendation is more complex due to the timing effects: we need to examine whether the POI fits a user»s ...
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A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
ACM Transactions on Information Systems, 2022Hossein A Rahmani +2 more
exaly
TransMKR: Translation-based knowledge graph enhanced multi-task point-of-interest recommendation
Neurocomputing, 2022Yaqin Ye, Jiao Pan
exaly
Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches
Electronics (Switzerland), 2022Sadaf Safavi +2 more
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Leveraging social influence based on users activity centers for point-of-interest recommendation
Information Processing and Management, 2022Hossein A Rahmani +2 more
exaly
Context-Aware Recommendations for Point-of-Interests.
2020© 2020 Jiayuan He ; The rapidly growing location-based social networks allow web users to check-in at point- of-interests (POIs) and share their check-ins with the public. The large amount of web breadcrumbs left by users has enabled researchers to investigate human mobility patterns, which opens new research opportunities for incorporating better ...
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Study of Context-based Personalized Recommendations for Points of Interest
IEEE/WIC/ACM International Conference on Web Intelligence, 2021Gaetano Manzo +4 more
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Neighbor-Discovery Recurrent Model for Point-of-Interest Recommendation
Proceedings of the 2023 6th International Conference on Big Data Technologies, 2023Songyu Han +3 more
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