Microsoft Technology Licensing, LLC

Eric Freistadt

Jonathan Reed Harris

Malia Morioka Douglas

Brian Scott Stucker

Mark Ian Rubinstein

Joan Li

Karl Rolando Henderson, Jr

Sidharth Sehgal

Examples of the present disclosure relate to systems and methods for managing membership information. In an example, membership information relating to a service comprising authentication information, billing details, among other information may be identified within an electronic communication from a service and stored. In addition, reminders regarding important dates (such as auto-renewal dates) for a membership may be generated, communication from services may be sorted by service type or service provider, or a user may easily unsubscribe from a service. Additional/alternative aspects of the technology may relate to managing information related to one or more memberships.

Smart membership management

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.

Intelligent assistant help system

Growing community of inventors

Seattle, WA, United States of America

Eric Freistadt