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EPE: An Embedded Personalization Engine for Mobile Users
Jan.-Feb. 2014 (vol. 18 no. 1)
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.
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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