EPE: An embedded personalization engine for mobile users

Jongwoo Ha, Jung Hyun Lee, Sang-Geun Lee

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


The proposed embedded personalization engine (EPE) utilizes valuable in-device usage data for inferring mobile user interests in a privacy-preserving manner. To provide users with personalized services, the proposed approach analyzes both the usage data inside a mobile device and service items-such as news articles and mobile apps-using the Open Directory Project (ODP) as a knowledge base. Embedded classification and ranking methodologies effectively match such service items with inferred user interests. The scenario-based evaluation clearly shows that the proposed EPE gives users highly personalized services with both reasonable perceived latency and little energy consumption.

Original languageEnglish
Article number6655874
Pages (from-to)30-37
Number of pages8
JournalIEEE Internet Computing
Issue number1
Publication statusPublished - 2014


  • Internet computing
  • information search and retrieval
  • mobile computing
  • personalization
  • text mining

ASJC Scopus subject areas

  • Computer Networks and Communications


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