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arXiv · 1705.10512

Towards Psychometrics-based Friend Recommendations in Social Networking Services

Felix Beierle·Kai Grunert·Sebastian Göndör·Viktor Schlüter
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Abstract

Two of the defining elements of Social Networking Services are the social profile, containing information about the user, and the social graph, containing information about the connections between users. Social Networking Services are used to connect to known people as well as to discover new contacts. Current friend recommendation mechanisms typically utilize the social graph. In this paper, we argue that psychometrics, the field of measuring personality traits, can help make meaningful friend recommendations based on an extended social profile containing collected smartphone sensor data. This will support the development of highly distributed Social Networking Services without central knowledge of the social graph.

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Felix Beierle, Kai Grunert, Sebastian Göndör, Viktor Schlüter. 2017-05-30. Towards Psychometrics-based Friend Recommendations in Social Networking Services. https://doi.org/10.1109/aims.2017.22

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