Adaptive newsfeed filter system for the social networking site using artificial bee colony optimization

Kuo Kuang Huang, Hsin Chin Chen, Chia Cheng Hsu, Chien Hung Liu, Yueh Min Huang

Research output: Contribution to journalArticle


Social networking sites have recently received a lot of attention, which is particularly popular, provides a personal newsfeed of posts that is shared with friends. To enable users to quickly browse the most important and useful newsfeed posts from friends, the sites provides a newsfeed filter to show the top news for users. However, the selected results may not conform to the individual's viewing needs. This study proposes a newsfeed filter system on Facebook, which utilizes an artificial bee colony algorithm to provide adaptive newsfeed posts based on individual preferences. The experimental results indicate that the proposed method improves the accuracy of the newsfeed filter and outperforms other methods.

Original languageEnglish
Pages (from-to)205-216
Number of pages12
JournalJournal of Internet Technology
Issue number2
Publication statusPublished - 2016 Jan 1


All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

Cite this