Leverage Social and Contextual Intelligence for Personalized Social Event Recommendation

Lien Fa Lin*, Yuan Ko Huang, Yung Ming Li

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面600-603
頁數4
ISBN(電子)9798350324228
DOIs
出版狀態Published - 2023
事件14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 - Koriyama, 日本
持續時間: 8 7月 202313 7月 2023

出版系列

名字Proceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

Conference

Conference14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
國家/地區日本
城市Koriyama
期間8/07/2313/07/23

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