Methods and systems for creating an implicit profile for use by a recommendation engine or a question router is provided. User behavior on at least one of one or more electronic devices and an electronic communications network is tracked. User-related information relating to the user behavior is analyzed to extract or derive key words therefrom. The key words are stored in a profiles database as the implicit profile and used by the recommendation engine or question router to characterize user interests, expertise, and skills when matching a request from a querying user to a potential user or group of users having the relevant background to respond to the request.

Methods and systems for creating an implicit profile for use by a recommendation engine or a question router is provided. User behavior on at least one of one or more electronic devices and an electronic communications network is tracked. User-related information relating to the user behavior is analyzed to extract or derive key words therefrom. The key words are stored in a profiles database as the implicit profile and used by the recommendation engine or question router to characterize user interests, expertise, and skills when matching a request from a querying user to a potential user or group of users having the relevant background to respond to the request.

Methods and systems for creating an implicit profile for use by a recommendation engine or a question router is provided. User behavior on at least one of one or more electronic devices and an electronic communications network is tracked. User-related information relating to the user behavior is analyzed to extract or derive key words therefrom. The key words are stored in a profiles database as the implicit profile and used by the recommendation engine or question router to characterize user interests, expertise, and skills when matching a request from a querying user to a potential user or group of users having the relevant background to respond to the request.