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A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces
Personal digital traces are constantly produced by connected devices, internet services and interactions.
Searching Heterogeneous Personal Digital Traces
We propose a simple but flexible data model to aggregate, organize, and find personal information within a collection of a user's personal digital traces.
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