@inproceedings{a51bf33a8fa34ae7917eb662856ab048,
title = "A Social Recommendation Mechanism for Enhancing O2O E-Commerce",
abstract = "O2O business model synergize the efficiency improved from online retailing and value created from physical customer experience. Nowadays, while many O2O apps and services have been proposed, the study of the accuracy of customer targeting and the effectiveness of advertising in a dynamic environment are big challenges currently faced by O2O e-commerce. In this paper, we proposed a novel social recommendation mechanism for enhancing O2O e-commerce, by incorporating the techniques of context-awareness and social referral. The proposed mechanism could identify the most suitable ads for targeted users in a changing environment, and could significantly improve the effectiveness of advertising by taking the influence of friends into consideration.",
keywords = "Location-based Service, O2O, Social Recommender systems, Social referral",
author = "Lin, {Lien Fa} and Yung-Ming Li",
year = "2017",
month = nov,
day = "15",
doi = "10.1109/IIAI-AAI.2017.99",
language = "English",
series = "Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "401--406",
editor = "Kiyota Hashimoto and Naoki Fukuta and Tokuro Matsuo and Sachio Hirokawa and Masao Mori and Masao Mori",
booktitle = "Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017",
address = "美國",
note = "6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 ; Conference date: 09-07-2017",
}