Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating substitute terms. One of the methods includes receiving a query having an original term and determining one or more substitution contexts for the original term, wherein a substitution context includes one or more context terms and an indication of a position in the query of the original term and the one or more context terms. The substitution contexts are classified into a first category or a second category based on a respective score of each substitution context. The original term is associated with one or more substitution contexts in the first category.
Abstract:
Example embodiments of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing a dynamic content delivery search system. In example embodiments, entry of a first keyword of a search string comprising a plurality of keywords is detected. The first keyword is identified after entry of the first keyword and prior to entry of a second keyword of the search string. A first set of matching results that match the identified first keyword is determined. Entry of the second keyword is detected and the second keyword identified. Using the second keyword, the first set of matching results is refined. The resulting search results are presented to a user.
Abstract:
A method includes receiving a user inputted lower-level hierarchical filter key, processing filter key relational data to identify higher-level filter criteria keys associated with the user inputted lower-level hierarchical filter key, updating higher-level filter criteria to include the identified higher-level filter criteria keys, and generating a list of results according to the updated filter criteria. A computer program product and computer system corresponding to the method are also disclosed.
Abstract:
Methods and systems to refine search results were described. The system communicates a first user interface to a mobile device that includes search results that include data items. The system receives a first request from the mobile device that includes an indication of at least one swiping motion that is applied across a touch-sensitive screen on the mobile device. The mobile device is associated with a previously selected refinement and corresponding value. The system filters the search results. The refined search results include a second plurality of data items based on the previously selected refinement and the corresponding value. The system generates a second user interface that includes the refined search results. The system communicates the second user interface, over the network, to the mobile device. The second user interface includes the refined search results that include the second plurality of data items to display on the mobile device.
Abstract:
Various technologies pertaining to construction of a query for execution over a cube are described. Tabular data is presented on a displayed on a display screen, where the tabular data represents at least a portion of a data cube. Input is received with respect to the tabular data, and responsive to the input being received, a query is constructed based upon the input. The query is executed over the data cube, resulting in provisioning of a new table.
Abstract:
Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.
Abstract:
According to one embodiment of the disclosure, a query generation system generally includes an element rank and inference engine in communication with a computing system and a user interface. The element rank and inference engine is operable to receive a user supplied element from the user interface, the user supplied element being associated with a first filter criterion. The element rank and inference engine is also operable to create, using the first filter criterion, at least one second element and rank according to their relative importance, the at least one first element and the at least one second element according to their associated first filter criterion and second filter criterion. Next, the element rank and inference engine may output the at least one first filter element and the second filter element to the computing system.
Abstract:
A method including detecting an input to a cellular device, the input corresponding to at least a portion of one or more identifiers corresponding with a respective content stored in the cellular device, displaying on the cellular device a list of the respective content associated with the input and enabling a user to select one or more of the content in the list.
Abstract:
In one embodiment, a method includes receiving a first search query including a selection of a first query-domain. The first query-domain may correspond to a first object-type. The method includes identifying a first set of objects of the plurality of objects matching the first object-type. The method includes sending a first search-results page responsive to the first search query. The first search-results page may include references to one or more of the identified objects from the first set of objects and one or more query-filter elements. Each query-filter element may correspond to a query-filter associated with the first query-domain. Each query-filter element may be activatable to apply the associated query-filter to the identified objects. The method includes receiving a second search query including a selection of one or more of the query-filters in response to the first user activating the corresponding query-filter elements.
Abstract:
A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.