Microsoft Technology Licensing, LLC

Randy Hinrichs

David Earl Heckerman

Craig J Mundie

Nebojsa Jojic

Zheng Chen

Wei-Ying Ma

Benyu Zhang

Hua-Jun Zeng

Jay Beavers

Gu Xu

Hongbin Gao

Sarah Papp

Richard Anderson

Jeff Baxter

A method and system for identifying information about people is provided. The information system identifies groups of people that have relationships based on their relationships to documents or more generally to objects. The information system initially is provided with an indication of which people have which relationships to which documents. The information system then identifies clusters of people based on having a relationship to the same objects. The information system may also identify clusters of related objects associated with a cluster of people. When a user wants to identify information about a person, the user can provide the name of that person to the information system. The information system then can retrieve and display the names of the other people who are in the same cluster as the person.

Method and system for mining information based on relationships

The methods/systems described herein facilitate large-scale data collection and aggregation. One exemplary system that facilitates large-scale reporting of health-related data comprises a data collection component, a database and an aggregation component. The data collection component can collect health-related data on a large-scale from a non-selected population. The database can store at least some of the health-related data. The aggregation component can facilitate automatically ascertaining at least one pattern from the health-related data at least in part by applying one or more statistical, data-mining or machine-learning techniques to the database. One exemplary method of extracting health observations from information obtained on a macro-scale comprises receiving information about a plurality of self-selected subjects, pooling the information, mining the pooled information at least in part by employing a data-mining algorithm to infer one or more health observations from the pooled information, and monetizing the one or more health observations.

Large-scale information collection and mining

A system and process for network-based, interactive, multi-media learning is presented. The learning system and process employs high quality, low latency audio/video links over a multicast network (such as Internet2), as well as an interactive slideshow that allows annotations to be added by both the presenter and lecture participants, a question management feature that allows participants to submit questions and receive answers during the lecture or afterwards, and a complete archiving of the data streams and metadata associated with the foregoing features.

Computer network-based, interactive, multimedia learning system and process

A tool for providing health and/or wellness services is described herein. Not necessarily clean or unclean data about a plurality of self-selected or non-selected or unselected subjects is received. The data can be aggregated and mined at least in part by employing a statistical algorithm, a data-mining algorithm and/or a machine-learning algorithm. The data can be further employed to provide health and/or wellness services to participants.

Tools for health and wellness

A video conferencing system and process is presented that employs a distributed computer network, such as the Internet or a proprietary intranet, to conduct virtual conferences. Each conference has a computer that has access to the network, as well as audio equipment and a video camera for capturing audio and video (A/V) at the conferencee's site. Conducting a conference generally entails each of the conferencee's computers multicasting the A/V data captured at the conferencee's location over the network. At the same time, each conferences subscribes to A/V data multicoated by other conferences participating in the conference. The A/V data received by a conference over the network from the other conferences is rendered and played by the conferencee's computer. In this way, each conference can see and hear the other participating conferences during the conference.

Interactive, computer network-based video conferencing system and process

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Sammamish, WA, United States of America

Randy Hinrichs