A cloud-based intelligent TV program recommendation system

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

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2379-2399
Number of pages21
JournalComputers and Electrical Engineering
Issue number7
Publication statusPublished - 2013 Oct

All Science Journal Classification (ASJC) codes

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


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