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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023332
DOIs
Publication statusPublished - 2016 Dec 27
Event5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan
Duration: 2016 Oct 112016 Oct 14

Publication series

Name2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

Other

Other5th IEEE Global Conference on Consumer Electronics, GCCE 2016
Country/TerritoryJapan
CityKyoto
Period16-10-1116-10-14

All Science Journal Classification (ASJC) codes

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

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