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Issue No. 01 - Jan.-Feb. (2014 vol. 18)
ISSN: 1089-7801
pp: 30-37
JongWoo Ha , Korea University
Jung-Hyun Lee , Korea University
SangKeun Lee , Korea University
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.
Mobile communication, Mobile handsets, Computer architecture, High performance computing, Servers, Electronic mail, Internet

J. Ha, J. Lee and S. Lee, "EPE: An Embedded Personalization Engine for Mobile Users," in IEEE Internet Computing, vol. 18, no. 1, pp. 30-37, 2014.
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