Microsoft Technology Licensing, LLC

Microsoft Corporation

Daniel S Glasser

Henricus Johannes Maria Meijer

Lili Cheng

William Henry Gates, Iii

Alexander G Gounares

Gary William Flake

Matthew Bret MacLaurin

James R Larus

Debi P Mishra

Thomas F Bergstraesser

Ira L Snyder, Jr

Raymond Edward Ozzie

Melora Zaner-Godsey

Arnold Neil Blinn

Christopher Wellington Brumme

Michael J Connolly

Amit Mital

Nishant Dani

Chandramohan Amyangot Thekkath

Stephen Mitchell Liffick

Dane Alexander Glasgow

Robert M Price

Ann Elizabeth McCurdy

William J Bolosky

Peter Sewall Ford

Jeremy D Stone

David Rogers Treadwell, Iii

Brian R Daugherty

Samuel James McKelvie

Galen Clyde Hunt

Aaron William Ogus

George Joy

Sharad Mathur

Kartik Nadipuram Raghavan

Christopher Michael Pirich

Keiji Kanazawa

Jithendra K Veeramachaneni

Thomas R Reardon

John Steven Strauch

Alexey Kalinichenko

Peter S Ford

Brain R Daugherty

Systems and methods that provide for a virtual reality entertainment system that supplies immersive entertainment and creates a sensation for a user similar to having guests in a remote location to be physically present as virtual guests. Such virtual reality entertainment system can supply a graphic and/or audio; wherein interconnected computers, video and audio processing devices, supply a live interaction between a user and a guest(s). Although guests are only present virtually (e.g., electronically present with other objects/user within the environment) such virtual invitation enables a user and guests to concurrently experience the entertainment together (e.g., a live sporting event, spectator game). In a related aspect, the subject innovation can implement holographic avatars, and a plurality of communication interfaces, to imitate (and/or transform) a relationship between the user and the virtual guests/surrounding environment.

Transformations for virtual guest representation

A user-centric or identity-centric resource licensing system that manages access to 'cloud-based' resources (e.g., applications and services) is provided. A 'cloud' refers to a collection of resources (e.g., hardware and/or software) provided and maintained by an off-site or off-premise party (e.g., third party), wherein the collection of resources can be accessed by an identified user via a network. In accordance with the user-centric licensing model, the resource license (and subscription) rights can migrate with a user without regard to physical location, device used, or other contextual factors (e.g., activity engaged). Effectively, the rights are mapped (and tracked) as a function of a user identity, which can be a core identity or an identity based upon activity engaged, role, capacity, etc.

Remote management of resource license

Remote provisioning of an IT network and/or associated services is provided. Hardware, software, service and/or expertise can be moved from on-premise to a remote location (e.g., central, distributed . . . ). Accordingly, at least a large degree computation can be moved to the center to exploit economies of scale, among other things. In such an architecture, computational resources (e.g., data storage, computation power, cache . . . ) can be pooled, and entities can subscribe to a particular level of resources related to a private entity IT network.

Remote provisioning of information technology

A system that can assist users to manage a personal active directory for all of their information maintained within a cloud-based environment is provided. The identity of a client that accesses data is monitored and recorded in a log. In turn, this information can be made available to the owner of the information in order to develop a desired access control list (ACL). Additionally, the system can employ a heuristic component that can automatically establish the ACL on the owner's behalf. As well, the system can track how information is being accessed (or attempted to be accessed) by other people therefore, giving the owner of the information the opportunity to restrict or allow access based upon any number of recorded factors (e.g., identity, context).

Access management in an off-premise environment

The claimed subject matter provides systems and/or methods that facilitate dynamically allocating resources (e.g., hardware, software, . . . ) supported by a third party service provider. The third party service provider can support any number of services that can be concurrently requested by several clients without user perception of degraded computing performance as compared to conventional systems/techniques due to improved connectivity and mitigated latencies. An interface component can receive a request from a client device. Further, a dynamic allocation component can apportion resources (e.g., hardware resources) supported by the third party service provider to process and respond to the request based at least in part upon subscription data. Moreover, a user state evaluator can determine a state associated with a user and/or the client device; the state can be utilized by the dynamic allocation component to tailor resource allocation.

Hardware architecture for cloud services

Virtual entertainment

Personal data mining mechanisms and methods are employed to identify relevant information that otherwise would likely remain undiscovered. Users supply personal data that can be analyzed in conjunction with data associated with a plurality of other users to provide useful information that can improve business operations and/or quality of life. Personal data can be mined alone or in conjunction with third party data to identify correlations amongst the data and associated users. Applications or services can interact with such data and present it to users in a myriad of manners, for instance as notifications of opportunities.

Personal data mining

The innovation enables generation of an index of cloud-based resources (e.g., data, services, applications). The index can be used to retrieve a subset of the cloud-based resources by analyzing a user-generated or standing query. 'Identity' and contextual factors can be incorporated to enable rich indexing as well as subsequent retrieval of meaningful resources. The cloud-based resources can be indexed and/or searched in accordance with diverse criteria including, but not limited to, type, size, data created, date modified, author core identity, object size, etc. As well, the innovation can provide for dynamically indexing and/or searching resources in accordance with current contextual factors including, but not limited to, author current acting capacity (e.g., current identity), current engaged activity of a user, location, time, date, etc. All of these criteria can facilitate indexing and categorizing of the resources for later retrieval and rendering via a rich index view.

Location management of off-premise resources

Systems and methods that analyze aggregated tagging behavior of users, and evaluate such tagging trends to identify criteria for taxonomy applications. Initially, existence of a possible trend of tagging data based on collective user behavior is determined. Subsequently, tagging trends can be examined to identify that a predetermined convergence criteria has in fact been met, and/or establish such criteria for taxonomy applications. Machine learning systems (implicitly as well as explicitly trained) can be supplied to facilitate determining the trends and the convergence criteria.

Machine learning system for analyzing and establishing tagging trends based on convergence criteria

The claimed subject matter provides systems and/or methods that facilitate replicating a state associated with a client, user, service, application, and the like. A third party service provider can support any number of services that can be concurrently requested by several clients without user perception of degraded computing performance as compared to conventional systems/techniques due to improved connectivity and mitigated latencies. A replication component can generate replicas of states associated with requested services. Further, the replicas can facilitate seamlessly interacting with the third party service provider (e.g., while transitioning between client devices). Additionally, by providing replicas of the state related information, differing third party service providers can effectuate services based upon a request from a client without regenerating the state.

State reflection

A system for assisting a user in selecting a packet-based telephony service provider ('PBTSP') from a group of PBTSPs, and in registering the user with the selected PBTSP for outbound and/or inbound calling. The selection of a particular PBTSP may be stored in a database, and this stored information may be used to enable the user to exchange telephone call data with one of the PBTSPs. One preferred system receives data from the user's computer device, determines whether the user is registered with one the PBTSPs and, if so, transmits data to the computer device which enables it to exchange telephone call data with one of the PBTSPs. The system also receives telephone call data from the computer device, accesses contact information for a PBTSP, and transmits the received telephone call data to the PBTSP using the accessed contact information.

Managing packet-based telephony

An intelligent personalized agent monitors, regulates, and advises a user in decision-making processes for efficiency or safety concerns. The agent monitors an environment and present characteristics of a user and analyzes such information in view of stored preferences specific to one of multiple profiles of the user. Based on the analysis, the agent can suggest or automatically implement a solution to a given issue or problem. In addition, the agent can identify another potential issue that requires attention and suggests or implements action accordingly. Furthermore, the agent can communicate with other users or devices by providing and acquiring information to assist in future decisions. All aspects of environment observation, decision assistance, and external communication can be flexibly limited or allowed as desired by the user.

Dynamic environment evaluation and service adjustment based on multiple user profiles including data classification and information sharing with authorized other users

State replication

Systems and methods that recognize items based on aggregated tagging behavior of users regarding the items. Individual users can establish relationships among tagged items and the system analyzes aggregate of such established relationships, to recognize the item and/or infer additional information regarding the items (e.g., wisdom of crowd such as metadata annotations, relevance ranking, and the like). Subsequently, search engine crawlers can be supplied with such additional information (e.g., extra metadata for reverse link search tables) to facilitate enterprise management and search.

Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior

Recommendation system that identifies a valuable user action by mining data supplied by a plurality of users to find a correlation that suggests one or more actions for notification

Growing community of inventors

Mercer Island, WA, United States of America

Daniel S Glasser