Abstract: A method, apparatus and computer program product to identify confidential information in a document. To examine a document for inclusion of confidential information, the document is compared against documents having similar structure and content from one or more other sources. When comparing documents (of similar structure and content) from different sources, confidential information is then made to stand out by searching for terms (from the sources) that are not shared between or among them. In contrast, common words or terms that are shared across the sources are ignored as likely being non-confidential information; what remains as not shared may then be classified as confidential information and protected accordingly (e.g., by omission, redaction, substitution or the like). Using this technique, non-confidential information may be safely segmented from confidential information in a dynamic, automated manner.

Abstract: A method, apparatus and computer program product to identify confidential information in a document. To examine a document for inclusion of confidential information, the document is compared against documents having similar structure and content from one or more other sources. When comparing documents (of similar structure and content) from different sources, confidential information is then made to stand out by searching for terms (from the sources) that are not shared between or among them. In contrast, common words or terms that are shared across the sources are ignored as likely being non-confidential information; what remains as not shared may then be classified as confidential information and protected accordingly (e.g., by omission, redaction, substitution or the like). Using this technique, non-confidential information may be safely segmented from confidential information in a dynamic, automated manner.

Abstract: Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.

Abstract: Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.