A study of mobile advertisement recommendation using real big data from AdLocus

Ting Jia Wu, Shih Hau Fang, Yong Bin Wu, Cheng Tse Wu, Jen Wei Haung, Yu Tsao

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509023332
DOIs
出版狀態Published - 2016 十二月 27
事件5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan
持續時間: 2016 十月 112016 十月 14

出版系列

名字2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

Other

Other5th IEEE Global Conference on Consumer Electronics, GCCE 2016
國家Japan
城市Kyoto
期間16-10-1116-10-14

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Hardware and Architecture
  • Instrumentation

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