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. 2. The method in accordance with claim 1 , wherein the user-related information comprises at least one of search terms used, documents read, documents opened, documents printed, documents saved, documents created, documents edited, documents commented on, annotations entered on documents, highlighted terms in documents, websites visited, webpages viewed, Internet searches conducted, ratings provided by the user on documents, products or services, user-created product or service reviews, multi-media items played, social forum threads opened, social forum threads participated in, people profiles opened, user items shared on the electronic communications network, shared items of others on the electronic communications network accessed by the user, user created content, online events, seminars, training courses, or webinars attended, in-person or online events, seminars, or training courses registered for, news or information feeds set up on the electronic communications network, emails written, emails received, blogs read, blog posts entered, software applications installed, computer hardware installed, software updates downloaded, and one or more of alerts, follows, and likes set up on the electronic communications network.