Intense use of open data to describe neighbourhoods.
Match user preferences with neighbourhoods.
Featured in NY times.
Newcomers to a city often have to go through cumbersome research to find a neighborhood to live in that best suits their interests and needs. Nowadays, most relevant data is publicly available.However, users actually look for easier and more straightforward ways and tools that help them in making that decision.
For our Lithuanian client, PlaceILive.com, we designed a recommender algorithm that suggests a neighborhood in New York City on the basis of users’ responses to nine short questions – about, e.g., security, rent, noise level, or commuting time. This matching system has been featured in the New York Times and is the basis to be applied in other cities.