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EPE: An Embedded Personalization Engine for Mobile Users
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AI
DOI：10.1109/MIC.2013.124.png)
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Abstract
En 中文
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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