@inproceedings{256cf6fc15e64056a3f08e0eba8db75a,
title = "Leverage Social and Contextual Intelligence for Personalized Social Event Recommendation",
abstract = "The O2O business model combines the efficiency of online retailing with the value created from physical customer experience. While many O2O apps and services have been proposed, accurately targeting customers and effectively advertising in a dynamic environment remain big challenges for O2O e-commerce. To address these challenges, we propose a novel social recommendation mechanism that incorporates social and contextual intelligence techniques. The proposed mechanism can identify the most suitable events for targeted users in a changing environment and significantly improve advertising effectiveness by considering the influence of friends.",
keywords = "Context-Awareness, Machine Learning, O2O, Social Computing",
author = "Lin, {Lien Fa} and Huang, {Yuan Ko} and Li, {Yung Ming}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 ; Conference date: 08-07-2023 Through 13-07-2023",
year = "2023",
doi = "10.1109/IIAI-AAI59060.2023.00119",
language = "English",
series = "Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "600--603",
booktitle = "Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023",
address = "美國",
}