Foursquare, for example, has been collecting years of data about where people are and what places they're interested in — not just their explicit check-ins, but their local searches, tips and likes. So far, that's allowed Foursquare to offer personalized recommendations. But now the company is taking the next step into anticipating users' needs, Foursquare's head of search, Andrew Hogue, told Fast Company. Hogue gave the example of giving users recommendations for lunch spots at 11 a.m., rather than requiring users to type "lunch" into a search.