Google Inc.

Marc Peter Tarca Wilson

Fiona Herring

Brent Alexander Hands

Fiona Elizabeth Herring

Embodiments include a computer-implemented method that includes receiving microposts including tokens, identifying a subset of the microposts that include a given token, determining a geographic location corresponding to the subset of the microposts that include the given token, associating the given token with the geographic location, and updating an index to reflect an association between the given token and the geographic location.

Systems and methods for associating microposts with geographic locations

A computer-implemented method and system may modify categories for points of interest (POIs) for display on a map at a client computing device based on a bias value corresponding to a classification of a user. A system may receive interaction events from client computing devices. The interaction events may each include an indication of a user interaction with a POI displayed on a digital map at a client computing device and each POI may include a category and a default zoom level. Using a user's location data, the system and method may classify the user based on the user's familiarity with an area surrounding the interaction event POI and assign a numerical bias to POIs that include the category of each interaction event POI. Subsequent requests for mapping data may then return categories of POIs according to the type of user sending the request based on the bias value.

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London, United Kingdom

Marc Peter Tarca Wilson