Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying geographic features. In one aspect, a method includes receiving a query. Geographic features are identified, each geographic feature being associated with one or more names, each geographic feature being associated with at least one name that includes the query. A feature-query score is computed for each geographic feature, including: for each name of the geographic feature that includes the query, identifying a computed feature-name score, wherein the feature-name score is computed based on a count of a number of occurrences of the name in a query log, wherein each occurrence is attributed to the feature; and computing the feature-query score based on the identified feature-name scores. The geographic features are ranked according to the feature-query scores.

Abstract: The memory of a user device stores map data for rendering a digital map of a geographic area. The memory also stores searchable geospatial data organized into tiles. Each tile corresponds to a respective portion of the geographic area of a substantially same size. The geospatial data includes, for each of the tiles, descriptions of one or more geographic entities and a location of the one or more geographic entities, within the corresponding portion of the geographic area. The processing hardware of the user device is configured to (i) display the digital map via the user interface, (ii) receive the map data and the searchable geospatial data from the map data server, in the online mode, (iii) receive a geographic query pertaining to the geographic area, and (iv) execute the geographic query using the geospatial data stored in the computer-readable memory.

Abstract: A computer-implemented method may include receiving, from a device, a search query that includes search terms, parsing the search terms into combinations of search terms, where each of the combinations includes one or more adjacent search terms, determining whether a hierarchical relationship exists for the one or more adjacent search terms of each of the combinations, generating one or more interpretations for each of the combinations based on whether the hierarchical relationship exists for the one or more adjacent search terms, performing a search based on at least one of the one or more interpretations to identify search results, generating a search result document containing the search results, and providing, to the device, the search result document.

Abstract: Search log data may specify map results that were provided to a user, and may further specify, for each map result, a geographic location to which the map result has been identified as relevant. For each geographic location, a number of the search results that have been identified as relevant to the geographic location may be determined, and a result suggest boost factor for the geographic location may be determined based on the number of search results that have been identified as relevant to the geographic location. A result suggest boost factor may be stored in an index, and is a value indicative of a likelihood that a query received from the user is requesting map results that are relevant to the geographic location.

Abstract: A computer-implemented method may include receiving, from a device, a search query that includes search terms, parsing the search terms into combinations of search terms, where each of the combinations includes one or more adjacent search terms, determining whether a hierarchical relationship exists for the one or more adjacent search terms of each of the combinations, generating one or more interpretations for each of the combinations based on whether the hierarchical relationship exists for the one or more adjacent search terms, performing a search based on at least one of the one or more interpretations to identify search results, generating a search result document containing the search results, and providing, to the device, the search result document.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving a search query originating from a user device, the search query including a geographic feature name; receiving data identifying one or more candidate point-of-interests, each candidate point-of-interest comprising data that identifies a corresponding candidate geographic entity, each candidate point-of-interest having an initial relevance score; generating one or more biasing boxes, wherein each biasing box defines a geographic region, and each biasing box is defined based on location information associated with the user device or a user using the user device; using the biasing boxes to generate respective adjusted relevance scores for the candidate point-of-interests; selecting a point-of-interest from the one or more candidate point-of-interests according to the respective adjusted relevance scores of the candidate point-of-interests; and using the selected point-of-interest to identify a location r

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying geographic features. In one aspect, a method includes receiving a query. Geographic features are identified, each geographic feature being associated with one or more names, each geographic feature being associated with at least one name that includes the query. A feature-query score is computed for each geographic feature, including: for each name of the geographic feature that includes the query, identifying a computed feature-name score, wherein the feature-name score is computed based on a count of a number of occurrences of the name in a query log, wherein each occurrence is attributed to the feature; and computing the feature-query score based on the identified feature-name scores. The geographic features are ranked according to the feature-query scores.