Predict User Demographics from location based social networks

I am currently working on an lbsn (localization-based social network) system and i need to predict the user's age and gender.

Every time a user enters a venue, the system creates a "check-in" with the user, the venue and the datetime.

Every venue is categorized using Foursquare Venue Categories.

The system generate a Weigthed Concept Hierarchy to represent the interest level between a user and a Venue Category.

Is it possible to predict the user's age and gender using the mentioned data?

Topic supervised-learning classification clustering machine-learning

Category Data Science

1
answered at

Possibly - If you frame it as supervised learning problem, you would need a dataset that has those features and is labeled with age and gender. Then you could build a classification model.

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