Abstract: Representative embodiments disclose intelligent help systems that monitor user interactions through email, digital assistants, and other applications and recognize when a user can utilize the help of an expert with a task. The system detects user intent and a category of problem from the interactions (i.e., email communications, etc.) and searches a database of user profiles to find experts with the proper expertise to help the user with the category of problem. User intent can be detected by parsing communications, extracting features from the communications, and using the extracted features to identify intent, such as through matching or machine learning. A social score and an expertise score are calculated for expert profiles from the database. The social score is based on a degree of separation and expert and the expertise score is based on a level of expertise. Experts and areas of commonality are presented to the user.

Abstract: Representative embodiments disclose intelligent help systems that monitor user interactions through email, digital assistants, and other applications and recognize when a user can utilize the help of an expert with a task. The system detects user intent and a category of problem from the interactions (i.e., email communications, etc.) and searches a database of user profiles to find experts with the proper expertise to help the user with the category of problem. User intent can be detected by parsing communications, extracting features from the communications, and using the extracted features to identify intent, such as through matching or machine learning. A social score and an expertise score are calculated for expert profiles from the database. The social score is based on a degree of separation and expert and the expertise score is based on a level of expertise. Experts and areas of commonality are presented to the user.