Abstract: Computer-implemented systems and methods are provided for parsing search queries. In accordance with some embodiments, search records including character strings are retrieved, and search query templates are generated comprising sequences of categories corresponding to character substrings of the character strings. Also, in accordance with some embodiments, search queries are parsed into character substrings and matched with a search query template. The search query template may then be used to associate categories with the character substrings. A search engine may use the categories to focus or otherwise refine a search based on parsed search query.

Abstract: Computerized systems and methods are provided for analyzing failed and successful search queries. In accordance with some embodiments, search records with character strings that are refinements of character strings of other search records are deemed related as belonging to a same user search. Minimum changed sections between character strings in related search records are determined. Correction pairs are created including the character sequences from the portions of the character strings containing the minimum changed sections. Frequencies of correction pairs in a pool of correction pairs are calculated, and the correction pairs appearing in the pool most frequently are stored in a correction log.

Abstract: Systems and methods are provided for ranking points of interest (POIs). According to one implementation, a computer-implemented method may be provided that includes receiving geographic information from a user device, and selecting a plurality of points of interest within the geographic region. The method may also include generating an initial ranking of the selected points of interest based on voting information received from the user device, viral input from a user's social network, and/or additional input based on searches for maps and travel directions for traversing a route. In addition, the method may include calculating a modified ranking of the selected points of interest.

Abstract: Computer-implemented systems and methods are provided for parsing search queries. In accordance with some embodiments, search records including character strings are retrieved, and search query templates are generated comprising sequences of categories corresponding to character substrings of the character strings. Also, in accordance with some embodiments, search queries are parsed into character substrings and matched with a search query template. The search query template may then be used to associate categories with the character substrings. A search engine may use the categories to focus or otherwise refine a search based on parsed search query.

Abstract: Computer-implemented systems and methods are provided for parsing search queries. In accordance with some embodiments, search records including character strings are retrieved, and search query templates are generated comprising sequences of categories corresponding to character substrings of the character strings. Also, in accordance with some embodiments, search queries are parsed into character substrings and matched with a search query template. The search query template may then be used to associate categories with the character substrings. A search engine may use the categories to focus or otherwise refine a search based on parsed search query.

Abstract: Systems and methods are provided for ranking points of interest (POIs). According to one implementation, a computer-implemented method may be provided that includes receiving geographic information from a user device, and selecting a plurality of points of interest within the geographic region. The method may also include generating an initial ranking of the selected points of interest based on voting information received from the user device, viral input from a user's social network, and/or additional input based on searches for maps and travel directions for traversing a route. In addition, the method may include calculating a modified ranking of the selected points of interest.

Abstract: Systems and methods are provided for ranking points of interest (POIs). According to one implementation, a computer-implemented method may be provided that includes receiving geographic information from a user device, and selecting a plurality of points of interest within the geographic region. The method may also include generating an initial ranking of the selected points of interest based on voting information received from the user device, viral input from a user's social network, and/or additional input based on searches for maps and travel directions for traversing a route. In addition, the method may include calculating a modified ranking of the selected points of interest.

Abstract: Computer-implemented systems and methods are provided for parsing search queries. In accordance with some embodiments, search records including character strings are retrieved, and search query templates are generated comprising sequences of categories corresponding to character substrings of the character strings. Also, in accordance with some embodiments, search queries are parsed into character substrings and matched with a search query template. The search query template may then be used to associate categories with the character substrings. A search engine may use the categories to focus or otherwise refine a search based on parsed search query.

Abstract: Computerized systems and methods are provided for analyzing failed and successful search queries. In accordance with some embodiments, search records with character strings that are refinements of character strings of other search records are deemed related as belonging to a same user search. Minimum changed sections between character strings in related search records are determined. Correction pairs are created including the character sequences from the portions of the character strings containing the minimum changed sections. Frequencies of correction pairs in a pool of correction pairs are calculated, and the correction pairs appearing in the pool most frequently are stored in a correction log.

Abstract: Systems and methods are provided for ranking points of interest (POIs). According to one implementation, a computer-implemented method may be provided that includes receiving geographic information from a user device, and selecting a plurality of points of interest within the geographic region. The method may also include generating an initial ranking of the selected points of interest based on voting information received from the user device, viral input from a user's social network, and/or additional input based on searches for maps and travel directions for traversing a route. In addition, the method may include calculating a modified ranking of the selected points of interest.