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 apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules. An advertiser can sponsor the term. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

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 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 creation of customized documents over a network as well as for negotiation of contents for documents over a network (e.g., Internet) are disclosed. In one aspect, professional documents can be created in an automated manner. In another aspect, negotiation of documents (or their contents) can be performed in an automated manner. In either case, the customization and/or negotiation is efficient, cost-effective and useful.

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.

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.

Systems and methods for monitoring various physiological and environmental factors, as well as systems and methods for using this information for a plurality of useful purposes, are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed. This information is then used to support a variety of useful methods, such as clinical trials, marketing studies, biofeedback, entertainment, and others.

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.

A method for enterprise application integration that uses connectors that can be instantiated via downloading (e.g., using Java or other such technologies) to provide interfaces to respective disparate database systems. The databases systems may comprise any variety of now or heretofore known systems, e.g. SAP, Oracle, and so forth. The connectors can, for example, translate between a native language (or API) of the respective database systems and an internal language/protocol of the enterprise application integration system. To this end, the connectors can utilize a scripting language to access the respective database systems. Data retrieved from the database systems can be stored in a central data store in the form of RDF triplets, from which directed graphs can be generated for to generate presentations consolidated from the multiple database systems.