Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to host a composite window collection for a group of collaborators. The composite window collection includes individual windows controlled by individual collaborators and the group of collaborators observe the composite window collection from different computers connected via a network. A composite window collection session recording is formed. The composite window collection session recording is augmented with metadata to form a collaboration recording. Storage rules are applied to the collaboration recording. A request for the collaboration recording is received from a user. The user is prompted for metadata filtering criteria. A filtered collaboration recording is constructed in accordance with the metadata filtering criteria. The filtered collaboration recording is supplied to the user.

Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to specify a group of collaborators. Each collaborator in the group of collaborators is polled for window information for each window to be shared among the collaborators in a composite window collection. The window information includes end user device attributes for each collaborator and window metadata for each window to be shared among the collaborators in the composite window collection. Required parameters are calculated for each window to be shared among the collaborators in the composite window collection. The required parameters include window visibility criteria in the composite window collection. Sending clients in the group of collaborators are instructed on required parameters for each window to be shared among the collaborators in the composite window collection.

Abstract: A system, a method, and a computer program product for contextual natural language processing in software applications are disclosed. At least one input instruction for a software application is converted, using a natural language processing, to a predetermined format associated with the software application. The converted input instruction is filtered based on at least one parameter associated with the software application. The filtered input instruction is compared to a plurality of transactions associated with the software application. Based on the comparison, at least one transaction in the plurality of transactions capable of being executed by the software application is selected in response to the filtered input instruction. The software application executes the selected transaction based on the filtered input instruction.

Abstract: A system, a method, and a computer program product for contextual natural language processing in software applications are disclosed. At least one input instruction for a software application is converted, using a natural language processing, to a predetermined format associated with the software application. The converted input instruction is filtered based on at least one parameter associated with the software application. The filtered input instruction is compared to a plurality of transactions associated with the software application. Based on the comparison, at least one transaction in the plurality of transactions capable of being executed by the software application is selected in response to the filtered input instruction. The software application executes the selected transaction based on the filtered input instruction.

Abstract: A collaborative environment adapts to and anticipates users' needs based on presence of participants, proximity, context, in order to facilitate interaction among participants. An aspect of the collaborative environment includes multifactor user recognition.