Abstract: Systems and methods are disclosed for partitioning data into n partitions in a database used for information retrieval. According to certain embodiments implemented with at least one processor, a perceived load is determined for each of a plurality of substrings, each of the substrings corresponding to one or more entries in the database. The plurality of substrings are ordered from highest to lowest perceived load. Data associated with each of the first n substrings is assigned to a separate partition, wherein n is greater than one. Moreover, data associated with each of the remaining substrings is assigned to the n partitions based on a score. The score is computed by calculating, for each partition, a load variance and an entropy weight for the candidate substring. The load variance and the entropy weight are combined, and the candidate substring is assigned to the partition that has the lowest combined score.

Abstract: Systems and methods are disclosed for identifying points-of-interest using customized query prediction. According to certain embodiments, a partial query is received from a client via a network. The partial query may comprise a plurality of characters associated with a full query and location data associated with the client. The received partial query may be analyzed using at least one dictionary. Based on the analysis of the received partial query, at least one query may be predicted. Moreover, at least one point-of-interest may be identified based on the at least one predicted query. Further, data associated with the at least one identified point-of-interest may be transmitted over the network to the client prior to receiving the full query from the client.

Abstract: Computerized systems and methods are provided for identifying a character string for a point of interest. In accordance with some embodiments, point of interest information, including a universal resource locator (URL) is received, and a document associated with the URL is retrieved. The document is parsed to identify a set of character strings. A subset of character strings from the set is isolated. A character string is identified from the subset of character strings and associated with the POI information to thereby enable improved processing of queries and POI information retrieval.

Abstract: Systems and methods are provided for providing an ordered list of search results in response to a query. Consistent with certain embodiments, computer-implemented systems and methods may identify content items corresponding to a query. First relevance scores may be determined for the identified content items based on their relevance to the query. Second relevance scores may be determined by modifying at least one of the first relevance scores using a boost value. The boost value may be set to a default boost value when the query does not include an override boost value. The boost value may be set to the override boost value, when the query includes an override boost value. An ordered list of the identified content items may be generated based on the second relevance scores. The ordered list may be displayed on a display device.

Abstract: Systems and methods are disclosed for partitioning data into n partitions in a database used for information retrieval. According to certain embodiments implemented with at least one processor, a perceived load is determined for each of a plurality of substrings, each of the substrings corresponding to one or more entries in the database. The plurality of substrings are ordered from highest to lowest perceived load. Data associated with each of the first n substrings is assigned to a separate partition, wherein n is greater than one. Moreover, data associated with each of the remaining substrings is assigned to the n partitions based on a score. The score is computed by calculating, for each partition, a load variance and an entropy weight for the candidate substring. The load variance and the entropy weight are combined, and the candidate substring is assigned to the partition that has the lowest combined score.

Abstract: Systems and methods are disclosed for identifying points-of-interest using customized query prediction. According to certain embodiments, a partial query is received from a client via a network. The partial query may comprise a plurality of characters associated with a full query and location data associated with the client. The received partial query may be analyzed using at least one dictionary. Based on the analysis of the received partial query, at least one query may be predicted. Moreover, at least one point-of-interest may be identified based on the at least one predicted query. Further, data associated with the at least one identified point-of-interest may be transmitted over the network to the client prior to receiving the full query from the client.

Abstract: Computerized systems and methods are provided for identifying a character string for a point of interest. In accordance with some embodiments, point of interest information, including a universal resource locator (URL) is received, and a document associated with the URL is retrieved. The document is parsed to identify a set of character strings. A subset of character strings from the set is isolated. A character string is identified from the subset of character strings and associated with the POI information to thereby enable improved processing of queries and POI information retrieval.

Abstract: Systems and methods are provided for providing an ordered list of search results in response to a query. Consistent with certain embodiments, computer-implemented systems and methods may identify content items corresponding to a query. First relevance scores may be determined for the identified content items based on their relevance to the query. Second relevance scores may be determined by modifying at least one of the first relevance scores using a boost value. The boost value may be set to a default boost value when the query does not include an override boost value. The boost value may be set to the override boost value, when the query includes an override boost value. An ordered list of the identified content items may be generated based on the second relevance scores. The ordered list may be displayed on a display device.