1. An automated method for creating an implicit profile for use by at least one of a recommendation engine or a question router, comprising: tracking user behavior on one or more electronic devices of a user and an electronic communications network used to access the recommendation engine or question router; analyzing user-related information relating to the user behavior to extract and derive key words therefrom which are used to characterize user interests, expertise, and skills; assigning key word weightings to each of the key words; storing the key words and the key word weightings in a profiles database as the implicit profile; wherein: the key word weightings are assigned based on at least relevancy calculations of the user-related information and recency of the user-related information; the relevancy calculations are based on at least a relation of the user-related information to current key words in the implicit profile; at least the implicit profile is used by the recommendation engine or question router to provide expert recommendations or expert information to the user in response to a recommendation request or information request from the user; access to the recommendation engine or question router is restricted and requires user login; and the tracking is enabled via a crawling or searching application running on the one or more electronic devices of the user for searching various computer applications or storage locations on the one or more electronic devices for obtaining the user-related information.
1. An automated method for creating an implicit profile for use by at least one of a recommendation engine or a question router, comprising: tracking user behavior on one or more electronic devices of a user and an electronic communications network used to access the recommendation engine or question router; analyzing user-related information relating to the user behavior to extract and derive key words therefrom which are used to characterize user interests, expertise, and skills; assigning key word weightings to each of the key words; storing the key words and the key word weightings in a profiles database as the implicit profile; wherein: the key word weightings are assigned based on at least relevancy calculations of the user-related information and recency of the user-related information; the relevancy calculations are based on at least a relation of the user-related information to current key words in the implicit profile; at least the implicit profile is used by the recommendation engine or question router to provide expert recommendations or expert information to the user in response to a recommendation request or information request from the user; access to the recommendation engine or question router is restricted and requires user login; and the tracking is enabled via a crawling or searching application running on the one or more electronic devices of the user for searching various computer applications or storage locations on the one or more electronic devices for obtaining the user-related information. 3. The method in accordance with claim 1 , wherein: the user-related information is obtained from user activity on a web site used to access the recommendation engine or the question router; the user-related information comprises at least one of questions answered, answers provided, information and materials reviewed in answering questions, number of questions answered in a subject area, percentage of questions accepted for response, subject matter expertise based on answers submitted, number of times recommended as an expert in a subject area, user frequency of logging in to the web site, user preference for type of digital network, user preference for type of electronic device, user preferred information channels including one or more of reading or printing of documents, use of multimedia, and interacting socially in forums, and user open and click-through rates for relevant emails.