학술논문

A study of mobile advertisement recommendation using real big data from AdLocus
Document Type
Conference
Source
2016 IEEE 5th Global Conference on Consumer Electronics Consumer Electronics, 2016 IEEE 5th Global Conference on. :1-2 Oct, 2016
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Testing
Mobile communication
Data models
Regression analysis
Advertising
Conferences
Consumer electronics
Advertisements Recommendation
Regression Model
Language
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.