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EPE: An Embedded Personalization Engine for Mobile Users
- Authors
- Ha, JongWoo; Lee, Jung-Hyun; Lee, SangKeun
- Issue Date
- Jan-2014
- Publisher
- IEEE COMPUTER SOC
- Keywords
- information search and retrieval; Internet computing; mobile computing; personalization; text mining
- Citation
- IEEE INTERNET COMPUTING, v.18, no.1, pp.30 - 37
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE INTERNET COMPUTING
- Volume
- 18
- Number
- 1
- Start Page
- 30
- End Page
- 37
- ISSN
- 1089-7801
- Abstract
- The proposed embedded personalization engine (EPE) utilizes valuable in-device usage data to infer 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 service items with inferred user interests. The scenario-based evaluation shows that EPE gives users highly personalized services with both reasonable perceived latency and little energy consumption.
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Collections - Graduate School > Department of Artificial Intelligence > 1. Journal Articles
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Related Researcher
- LEE, Sang Keun
- Department of Artificial Intelligence