An expandable recommendation system on IPTV

  • Jie Xiao
  • , Liang He*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

IPTV's mass resources, high quality service and its open and free interactive service mode attract billons of user. It has brilliant potential and also has great challenge. Traditional one algorithm supported recommendation system is no longer content IPTV's huge service demand. In order to solve this problem, an expandable recommendation system is proposed in this paper. It contains new flexible system framework and basic ideas of applicable algorithms. And it has been implemented in real IPTV system and works well.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings
Pages33-40
Number of pages8
EditionPART 2
DOIs
StatePublished - 2012
Event3rd International Conference on Swarm Intelligence, ICSI 2012 - Shenzhen, China
Duration: 17 Jun 201220 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7332 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Swarm Intelligence, ICSI 2012
Country/TerritoryChina
CityShenzhen
Period17/06/1220/06/12

Keywords

  • IPTV
  • Recommendation Algorithm
  • Recommendation Framework
  • tag
  • template

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