Chelsea Dobbins, M. Merabti, P. Fergus, D. Llewellyn-Jones
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Living in the digital age has resulted in a data rich society where the ability to log every moment of our lives is now possible. This chronicle is known as a human digital memory and is a heterogeneous record of our lives, which grows alongside its human counterpart. Managing a lifetime of data results in these sets of big data growing to enormous proportions, as these records increase in size the problem of effectively managing them becomes more difficult. This paper explores the challenges of searching such big data sets of human digital memory data and posits a new approach that treats the searching of human digital memory data as a machine learning problem.