Abstract: Targeted information to be shared according to a “pre-analyzed user behavior” of a set of potential candidates is analyzed. The pre-analyzed user behavior is determined from a set of previously conveyed messages from a sender to one of the potential candidates. A list representing a determined subset of the potential candidates and related preference tools/applications is presented to the sender via a user interface. Tools/applications are determined for sending said targeted information content. An action message is sent to the tools/applications of selected candidates, which results in each of the subset of potential candidates receiving the targeted information.

Abstract: Targeted information to be shared according to a “pre-analyzed user behavior” of a set of potential candidates is analyzed. The pre-analyzed user behavior is determined from a set of previously conveyed messages from a sender to one of the potential candidates. A list representing a determined subset of the potential candidates and related preference tools/applications is presented to the sender via a user interface. Tools/applications are determined for sending said targeted information content. An action message is sent to the tools/applications of selected candidates, which results in each of the subset of potential candidates receiving the targeted information.

Abstract: Information concerning a set of recipients of previously conveyed messages from a sender can be collected. Patterns between content of the previously conveyed messages and each of the set of recipients can be determined and stored. Information can be selected within a user interface to share with others. The selected information can be analyzed and matched against the stored patterns. A subset of the recipients can be automatically determined. The subset can be those recipients likely to be interested in the selected information based on results of the analyzing and the matching. The information can be conveyed within at least one message from a sender device of the sender to one or more remotely located devices. Each of the one or more remotely located devices can be devices associated with at least a portion of the subset of the recipients.

Abstract: A method for demonstrating a software product that includes providing by a server, in response to a software product selected by a user via a terminal device, graphical user interface (GUI) shadow data created using predetermined event information and actions for downloading by the terminal device. The GUI shadow data enables the terminal device to demonstrate the software product. Additionally, a system and computer program product for demonstating software are described.

Abstract: Information concerning a set of recipients of previously conveyed messages from a sender can be collected. Patterns between content of the previously conveyed messages and each of the set of recipients can be determined and stored. Information can be selected within a user interface to share with others. The selected information can be analyzed and matched against the stored patterns. A subset of the recipients can be automatically determined. The subset can be those recipients likely to be interested in the selected information based on results of the analyzing and the matching. The information can be conveyed within at least one message from a sender device of the sender to one or more remotely located devices. Each of the one or more remotely located devices can be devices associated with at least a portion of the subset of the recipients.

Abstract: A computer apparatus and method for processing GUI objects is provided. The computer apparatus may include a recognition module and an object pick-up module. The recognition module may be configured to recognize a predetermined graphic mark on a GUI. The object pick-up module may be configured to pick up a GUI object having the predetermined graphic mark embedded therein.