A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

A system, method and computer readable medium for providing translated web content is disclosed. The method on an information processing system includes retrieving a first content in a first language and parsing the first content into a plurality of translatable components. The method further includes generating a unique identifier for each of the plurality of translatable components of the first content and queuing the plurality of translatable components and corresponding unique identifiers for translation into a second language. The method further includes, for each of the plurality of translatable components, storing a translated component and an associated unique identifier corresponding to the translatable component, thereby storing a plurality of translated components and corresponding unique identifiers.

A method of monitoring a subject includes detecting subject head motion via a microelectromechanical systems (MEMS) sensor associated with a device worn by the subject, such as a device worn on a region of the head or a headset attached to an ear. The head motion information from the MEMS sensor is processed to determine subject head displacement relative to an origin and/or to identify footstep information, and the processed head motion information is transmitted to a remote device. Processing the head motion information from the MEMS sensor may be performed via at least one processor associated with the device worn by the subject and/or via a second device in telemetric communication with the MEMS sensor. The method may include processing head motion information from the MEMS sensor to determine if the subject has fallen down and/or is not moving.

A universal data management interface (UDMI) system includes a processing system generates a visual interface through which a user can access, manage, and manipulate data on plural different types of remote databases. The UDMI connects to multiple standard database management systems and to allow multiple users to access, manage, and manipulate data within each of the multiple standard database management systems. The UDMI also allows multiple virtual databases that reside in a single database to be available as a network service.

A method and system for generating signatures for three-dimensional multimedia data elements. The method comprises receiving by a three-dimensional multimedia data element; projecting the received three-dimensional multimedia data element on at least one two-dimensional plane, wherein the projection results in two-dimensional graphic representations of the received three-dimensional multimedia data element; generating by a signature generator at least one signature for each of the plurality of two-dimensional graphic representations; assembling by an assembler unit the plurality of signatures generated for each of the plurality of two-dimensional graphic representations to generate a complex signature, wherein the complex signature is the signature representing the three-dimensional multimedia data element; and storing the signatures of each of the two-dimensional graphic representations of the at least one three-dimensional multimedia data element and the complex signature in association with the three-dimensional multimedia data element in a storage unit.

A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Personalized network searching, in which a search query is received from a user, and a request is received to personalize a search result. Responsive to the search query and the request to personalize the search result, a personalized search result is generated by searching a personalized search object. Responsive to the search query, a general search result is generated by searching the general search object. The personalized search result and the general search result are provided to a client device, an advertisement is selected based at least in part upon the personalized search object, and the advertisement, the personalized search result, and the general search result are displayed.

An example method of displaying a data visualization includes displaying a graphical user interface that includes three distinct regions, and receiving user actions to associate two different fields with two different shelves. The method also includes generating, in accordance with the received user actions, data marks to be displayed in a data visualization, each data mark corresponding to a respective retrieved tuple of data from a multidimensional database, where (i) each data mark has an x-position defined according to data for a first field in the respective tuple and (ii) each data mark has a y-position defined according to data for a second field in the respective tuple. The method also includes displaying a data visualization that includes the generated data marks.

Personalized network searching, in which a search query is received from a user, and a request is received to personalize a search result. Responsive to the search query and the request to personalize the search result, a personalized search result is generated by searching a personalized search object. Responsive to the search query, a general search result is generated by searching the general search object. The personalized search result and the general search result are provided to a client device, an advertisement is selected based at least in part upon the personalized search object, and the advertisement, the personalized search result, and the general search result are displayed.