Location Based Ranking of Real World Locations

摘要

An online booking system allows users to creates, search, and book listings of goods or services. When a user searches for listings, the listings are ranked at least in part based on a location relevance score including at least one of a city relevance subscore, a neighborhood subscore, and a distance subscore. Generally, the city relevance subscore quantifies the probability that a searching user may have actually intended to look for listings in a city other than the city specified in a search query. Generally, the neighborhood relevance subscore quantifies the popularity of specific neighborhoods within a city as a replacement or addition to the distance subscore that determines a real world distance between a listing's real world location and a location specified in a search query.

主权项

1. A computer implemented method, comprising:
receiving a search query from a client device associated with a user, the search query including a query city; accessing a plurality of listings available for booking by users, each of the listings located in one of a plurality of listing cities, at least one of the listing cities being different from the query city; accessing a plurality of historical search queries including the query city, and a plurality of historical bookings in the plurality of listing cities; determine, by a computer processor, a location relevance score for each of the listings based on a city relevance subscore, the city relevance subscore for a listing based on the query city, the listing city, the historical search queries, and the historical bookings; ranking the listings based at least in part on the city relevance subscore; and providing the listings in ranked order to the client device associated with the user.