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.