A computer-implemented method for interacting with at least one data item obtained from at least one source utilizes computer processes responsive to a user selection of the at least one data item and include causing configuring of each of the data items into a distinct information object by extracting, from each data item, extracted data including a picture, a heading, and a link to the data item, and causing storing of data corresponding to each of the information objects in a database system. The processes further include displaying a representation of each of at least two of the information objects in the database system, the representation being in a uniform format, wherein the format includes a card, and, within the card, in uniform locations thereof, the picture, the heading, a set of indicators, and a set of graphically accessible functions.

A system and method for dynamically retrieving, manipulating, updating, creating, and displaying data from sources of Extensible Markup Language (XML) documents. The program memory comprises system-user entered data definitions and business rules. The system imports XML document data into the system data definitions, processes the data using the business rules definitions and exports XML documents. The system can automatically create XML document formats from its data definitions and can automatically create its data definitions from XML document formats. The system-user can also define the mapping between XML document formats and the system data definitions. The system data definition is the combination of a Relational data model, an Object data model, and an XML data model.

A method of selecting and presenting content based on learned user preferences is provided. The method includes receiving search input from the user for identifying desired content items and receiving content selection actions from the user. The method further includes analyzing the date, day, and time of content selection actions by the user and analyzing descriptive terms associated with the selected content items to learn a periodicity of user selections of similar content items. In response to subsequent searches by the user, the method calls for selecting and ordering a collection of content items for presentation to the user based on comparing the user's search input to descriptive terms associated with content items and based on the learned periodicities 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.

A system and method for contextually enriching a concept database. The method includes determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of third concepts stored in the concept database, at least one matching first concept among the plurality of third concepts; generating a reduced representation of the first MMDE; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching MMDEs among the plurality of second MMDEs; generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.

A method of selecting and presenting content on a first system based on user preferences learned on a second system is provided. The method includes receiving a user's input for identifying items of the second content system and, in response thereto, presenting a subset of items of the second content system and receiving the user's selection actions thereof. The method includes analyzing the selected items to learn the user's content preferences for the content of the second content system and determining a relationship between the content of the first and second content systems to determine preferences relevant to items of the first content system. The method includes, in response subsequent user input for items of the first content system, selecting and ordering a collection of items of the first content system based on the user's learned content preferences determined to be relevant to the items of the first content system.

A computer-implemented method for interacting with at least one data item obtained from at least one source utilizes computer processes responsive to a user selection of the at least one data item and include causing configuring of each of the data items into a distinct information object by extracting, from each data item, extracted data including a picture, a heading, and a link to the data item, and causing storing of data corresponding to each of the information objects in a database system. The processes further include displaying a representation of each of at least two of the information objects in the database system, the representation being in a uniform format, wherein the format includes a card, and, within the card, in uniform locations thereof, the picture, the heading, a set of indicators, and a set of graphically accessible functions.

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 method of selecting and presenting content on a first system based on user preferences learned on a second system is provided. The method includes receiving a user's input for identifying items of the second content system and, in response thereto, presenting a subset of items of the second content system and receiving the user's selection actions thereof. The method includes analyzing the selected items to learn the user's content preferences for the content of the second content system and determining a relationship between the content of the first and second content systems to determine preferences relevant to items of the first content system. The method includes, in response subsequent user input for items of the first content system, selecting and ordering a collection of items of the first content system based on the user's learned content preferences determined to be relevant to the items of the first content system.

A method and system for determining access permissions to personalized clusters of multimedia content elements are provided. The method includes receiving a permission index designating at least the content description of at least one personalized cluster and an authentication factor; analyzing the content description; checking if there is at least one personalized cluster that matches the analyzed content description; and generating privacy metadata for each matching personalized cluster, wherein the privacy metadata includes at least the authentication factor associated with the respective content description matching the personalized cluster, wherein the generate privacy metadata determines access permission to the matching personalized cluster.