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Issue No.01 - Jan.-Feb. (2014 vol.18)
pp: 30-37
JongWoo Ha , Korea University
Jung-Hyun Lee , Korea University
SangKeun Lee , Korea University
ABSTRACT
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.
INDEX TERMS
Mobile communication, Mobile handsets, Computer architecture, High performance computing, Servers, Electronic mail, Internet,Internet computing, personalization, information search and retrieval, text mining, mobile computing
CITATION
JongWoo Ha, Jung-Hyun Lee, SangKeun Lee, "EPE: An Embedded Personalization Engine for Mobile Users", IEEE Internet Computing, vol.18, no. 1, pp. 30-37, Jan.-Feb. 2014, doi:10.1109/MIC.2013.124
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