Crawling Hidden Objects with KNN Queries - 2016
With rapidly growing popularity, Location Primarily based Services (LBS), e.g., Google Maps, Yahoo Native, WeChat, FourSquare, etc., started offering web-primarily based search features that resemble a kNN question interface. Specifically, for a user-specified query location q, these websites extract from the objects in their backend database the high-k nearest neighbors to q and come these k objects to the user through the net interface. Here k is usually a tiny value like 50 or 100. For example, McDonald [one] returns the prime twenty five nearest restaurants for a user-specified location through its locations search webpage.
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