Researchers from China and the United States have collaborated on research that uses machine learning techniques to discern the ‘hidden visits&#

Uncovering Our ‘Hidden Visits’ With Cell Phone Data And Machine Learning

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2021-06-25 09:30:07

Researchers from China and the United States have collaborated on research that uses machine learning techniques to discern the ‘hidden visits’ we make when we move around the country, but do not make enough phone calls or use our phones enough for a complete picture of our movements to otherwise be formed from telecom data records.

The paper, entitled Identifying Hidden Visits From Sparse Call Detail Record Data, is led by Zhan Zhao from the University of Hong Kong, working with Haris N. Koutsopoulos from Boston’s Northeastern University and Jinhua Zhao at MIT.

The premise of the research is to use the mobile connectivity records (including mobile data, SMS and voice calls) of highly active users to develop a model that can more precisely guess the movement patterns of less active users.

A rough schematic for extracting trip information from Call Detail Record (CD) data. Source: https://arxiv.org/pdf/2106.12885.pdf