A cloud-based intelligent TV program recommendation system

Jui Hung Chang, Chin Feng Lai, Ming Shi Wang, Tin Yu Wu

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

In recent years, cloud computing technology has matured significantly, as has the development of digital TV services. This, therefore, has led to an increased demand for improved quality TV services. In: this paper, cloud computing technology is used to build a program recommendation system for digital TV programs, and the Hadoop Fair Scheduler is utilized to improve processing performance. Historical data of watched TV programs are collected through an electronic program guide, and then processed using K-means clustering, term frequency/inverse document frequency and k-nearest neighbor algorithms, to obtain clusters of audience groups and to find popular TV programs for each cluster. The proposed system can process massive amounts of user data in real-time, and can easily be scaled up.

原文English
頁(從 - 到)2379-2399
頁數21
期刊Computers and Electrical Engineering
39
發行號7
DOIs
出版狀態Published - 2013 十月

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)
  • Electrical and Electronic Engineering

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