Implicit profile for use with recommendation engine and/or question router
AssigneeGartner, Inc.
InventorsNir Polonsky, Girish Malangi
Life of this patent
Estimating the term…
Abstract
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.
Claims24
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 at least one of one or more electronic devices and an electronic communications network;
- analyzing user-related information relating to the user behavior to derive key words therefrom which are used to characterize user interests, expertise, and skills;
- and
- storing the key words in a profiles database as the implicit profile;
- wherein the key words are derived from the user-related information by applying at least one of lexical analysis, metadata analysis, and natural language processing analysis.
A system for creating an implicit profile for use by at least one of a recommendation engine or a question router, comprising:
- an electronic communications network;
- one or more electronic devices for each user in communication with the electronic communications network;
- a software application running on each of the electronic devices for tracking user behavior on at least one of the one or more electronic devices and the electronic communications network;
- one or more information databases for storing user-related information relating to the user behavior;
- an analyzer associated with the one or more databases and at least one of the recommendation engine or the question router for:
- receiving and analyzing the user-related information relating to the user behavior;
- deriving key words from the user-related information for use in characterizing user interests, expertise, and skills;
- and
- a profiles database associated with at least one of the recommendation engine or the question router for storing the key words as the implicit profile;
- wherein the key words are derived from the user-related information by applying at least one of lexical analysis, metadata analysis, and natural language processing analysis.
Dependencies are inferred from the claim text.