CORALS: who are my potential new customers? Tapping into the wisdom of customers’ decisions
CORALS: who are my potential new customers? Tapping into the wisdom of customers’ decisions Li et al., WSDM’19
The authors of this paper won round 9 of the Yelp dataset challenge for their work. The goal is to find new target customers for local businesses by mining location-based checkins of users, user preferences, and online reviews.
Location-based social networks attract millions of users to share their social friendship and their locations via check-ins. For example, an average of 142 million users check in at local businesses via Yelp every month. Foursquare and 55 million monthly active users and 8 million daily check-ins on the Swarm application. Facebook Local, powered by 70 million businesses, facilitates the discovery of local events and places for over one billion active daily users.
(And of course these are just the explicit check-ins, location tracking has proved tempting to many businesses without requiring explicit user checkin actions. For example: Facebook is tracking your phone’s location… , Google’s location history is still recording your every move…, Google tracks your movements, like it or not, …).
Check-ins give us a location history. Preference for a given business will be influenced by the proximity of that Continue reading

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