Predictive Prefetching Based on User Interaction for Web Applications

Minwoo Joo, Yeonoh An, Heejun Roh, Wonjun Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Web prefetching is a key technology to hide network latencies from users. Conventional prefetching methods, however, misconstrue the purpose of user's browsing behaviors and resulting experience due to their dependence on statistical characteristics or metadata of individual Web applications. In this letter, we propose a predictive prefetching scheme, WebPrefetcher, which utilizes interaction events to decipher user's genuine intention and context. Our intensive performance analysis results obtained with a real Web browser demonstrate that WebPrefetcher improves user-perceived quality of experience noticeably, outperforming competitive models.

Original languageEnglish
Article number9260158
Pages (from-to)821-824
Number of pages4
JournalIEEE Communications Letters
Issue number3
Publication statusPublished - 2021 Mar


  • Web prefetching
  • quality of experience
  • user interaction

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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