@inproceedings{c27da657185446ad82e0ee15dc70cc5d,
title = "A study of mobile advertisement recommendation using real big data from AdLocus",
abstract = "AdLocus is an APP developed by HyXen Company for mobile advertisements. This advertising software can push the message to the target users within specified locations. Based on the real big data provided by AdLocus, we design a dynamic advertisements recommendation system to increase the advertising efficiency. The proposed method uses the regression models and the click probability to recommend the amount of mobile advertisements for every 30 minutes. The results show that our recommendation can efficiently raise the successful clicking rate to satisfy the required clicks number. Moreover, the proposed method avoids the redundant advertisements to reduce the system cost.",
author = "Wu, {Ting Jia} and Fang, {Shih Hau} and Wu, {Yong Bin} and Wu, {Cheng Tse} and Haung, {Jen Wei} and Yu Tsao",
note = "Funding Information: The authors would like to thank the financial support provided by the National Science Council NSC102-2221-E-155-006-MY3, Ministry of Science and Technology 102-2221-E-155-006-MY3 and 105-2221-E-155-013-MY3, and the HyXen Technology Co., Ltd, Taiwan Publisher Copyright: {\textcopyright} 2016 IEEE.; 5th IEEE Global Conference on Consumer Electronics, GCCE 2016 ; Conference date: 11-10-2016 Through 14-10-2016",
year = "2016",
month = dec,
day = "27",
doi = "10.1109/GCCE.2016.7800364",
language = "English",
series = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",
address = "United States",
}