Abstract: Suggesting email tags. A non-transitory machine-readable storage device includes executable instructions that, when executed, cause one or more processors to provide a suggestion for at least one suggested tag based on content of an email, receive a selection of a selected tag, store the email in a computer database, thus creating a stored email, and associate the selected tag with the stored email in the computer database.

Abstract: A particular case is matched to further cases, where the matching is based on plural attributes contained in the particular case and in the further cases, wherein one of the plural attributes relates to a flow of activities taken to address the respective case.

Abstract: Systems, devices and methods are provided which relate to detecting a print command on a client computer, the print command reflecting an interest to print content of an electronic document, accessible by a client computer, as a hard copy printout. One method includes analyzing the electronic document content to determine its underlying subject matter, identifying commercial content relevant to the underlying subject matter, and creating and formatting a new, printable document that includes the electronic document content and the identified commercial content.

Abstract: Semantically ranking content in a website (110) with a computerized ranking device (105) includes: parsing content from the website (110) into multiple autonomous content blocks (415-1 to 415-17) with the computerized ranking device (105) and assigning an importance ranking with said computerized ranking device (105) to each of the content blocks (415-1 to 415-17) based on a degree to which a substance of the content block (415-1 to 415-17) is relevant to one of a plurality of predefined categories.

Abstract: Suggesting email tags. A non-transitory machine-readable storage device includes executable instructions that when executed, cause one or more processor to provide a suggestion for at least one suggested tag based on content of an email, receive a selection of a selected tag store the email in a computer database, thus creating a stored email, and associate the selected tag with the stored email in the computer database.

Abstract: A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model (“DOM”) using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content.

Abstract: Semantically ranking content in a website (110) with a computerized ranking device (105) includes: parsing content from the website (110) into multiple autonomous content blocks (415-1 to 415-17) with the computerized ranking device (105) and assigning an importance ranking with said computerized ranking device (105) to each of the content blocks (415-1 to 415-17) based on a degree to which a substance of the content block (415-1 to 415-17) is relevant to one of a plurality of predefined categories.

Abstract: A particular case is matched to further cases, where the matching is based on plural attributes contained in the particular case and in the further cases, wherein one of the plural attributes relates to a flow of activities taken to address the respective case.

Abstract: In one embodiment, a system and method relate to detecting a print command received by a network browser of a client computer, the print command reflecting an interest to print content of a network page displayed in the network browser as a hard copy printout, analyzing the network page content to determine its underlying subject matter, identifying commercial content relevant to the underlying subject matter, and creating and formatting a document that includes the network page content and the identified commercial content.

Abstract: Methods, machines, systems and machine-readable instructions for producing marketing items are described. In one aspect, a user is prompted to specify campaign parameters, including one or more campaign topics, defining a scope of the campaign. The user is prompted to specify for each of the one or more campaign topics a corresponding set of one or more attributes of intended recipients of the marketing campaign. The one or more specified campaign topics are associated to respective sets of targeted recipients selected from a database of records of potential recipients based on mappings of the respective sets of recipient attributes to the campaign topics and the specified campaign parameters defining the scope of the marketing campaign. For each of the targeted recipients, a respective marketing item containing a respective set of one or more contents matched to the campaign topic associated to the targeted recipient is composed.

Abstract: A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model (“DOM”) using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content.