Pinteresting: towards a better understanding of user interests

Authors:
Ana-Maria Popescu
Affiliations:
Research Consulting, Mountain View, CA, USA
Venue:
Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
Year:
2012

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Abstract

The ascendance of interest-based social networks allows for developing better models of user interest in the context of established and new tasks, connecting interests with demographic characteristics, studying changes in user interests with respect to time and location or mining interest data to build broadly useful resources. This submission focuses on Pinterest, a growing social bookmarking site; it identifies research avenues for improving the user experience and for exploiting Pinterest data for broader uses.