Microsoft Technology Licensing, LLC

Virtuoz Sa

Criteo S.a.

Microsoft Corporation

Dan Teodosiu

Nikolaj Skallerud Bjorner

Xavier Boyen

Markus M Breunig

Elizabeth Ireland Powers

Jean-Marie Henri Daniel Larcheveque

Freya Kate Recksiek

Wei Chen

William Jefferson Westerinen

Cenk Ergan

Zheng Zhang

Michael Richard Fortin

Michael James Zwilling

Mark Joseph Zbikowski

Hanumantha Rao Kodavalla

Nathan Steven Obr

John M Parchem

Clark David Nicholson

Patrick L Stemen

Rajeev Y Nagar

Therron Powell

Dean L DeWhitt

Surenda Verma

Yu Chen

Shiding Lin

Qiao Lian

Chao Jin

Emily Nicole Hill

Jin Li

Philip Andrew Chou

Eric P Traut

Mark Steven Manasse

Cheng Huang

Guhan Suriyanarayanan

David C Steere

Yuri Gurevich

Alexandra K Heron

Eyal Schwartz

John T Spivey

Huisheng Liu

Nikolaj S Bjørner

Bruno Roggeri

Zhenyu Qian

Joseph C Pistritto

Kresimir Bozic

Patrick E Bozeman

Akhil Wable

L Roger Soles

Alexander G Gounares

John R Douceur

William J Bolosky

Sarosh Cyrus Havewala

Todd R Manion

Ravi Rao

Ashok Kuppusamy

Sandeep Singhal

Raymond Edward Endres

Yunnan Wu

Andrew M Herron

Emily Nicole Wilson

Peter Sewall Ford

Ryan Yonghee Kim

Shobana Balakrishnan

Muthukaruppan Annamalai

Ryoji Watanabe

William L Scheidel

Brian Kenneth Dewey

Xuezheng Liu

Christophe Franck Robert

Joseph A Porkka

Cristian Teodorescu

Daniel C Stevenson

Cristian Costache

Jay Paulus

Euan Grant

Richard D Chinn

Zhihong Mao

Grzegorz Lapinski

Dan Stevenson

Alix Mougenot

Roger L Soles

Olivier Koch

Pierre-Emmanuel Mazaré

Romain Lerallut

Michael J Bohlander

Tom Kleinpeter

Robert A Post, Jr

Rostislav Yavorskiy

Philippe Joseph François Bourcier

Lily C Li

Paul Bryan Davis

Pierre Serge Vincent LeRoy

Jimmy Ma

Sebastien Jean-Marie Christian Saunier

Baptiste Gérard Adrien Marie Courtois

Olivier Dabrowski

Paolo Severini

Erik Zigman

Stephen Goggin

Attila Pall

Described herein are methods and systems for generating a mobile device-specific identifier usable across native mobile applications and mobile browsers with a unified opt-out mechanism. A mobile device generates a transient identifier for the mobile device and maps the transient identifier to a stable identifier of the mobile device using at least one call to a service endpoint coupled to the mobile device via a communications network. A browser application on the mobile device renders a webpage, the webpage comprising first instructions, executed by the browser application, to retrieve the stable identifier of the mobile device using at least one call to the service endpoint coupled to the mobile device via a communications network.

Generating mobile device-specific identifiers across native mobile applications and mobile browsers

A method is performed by a computing device. A request is sent comprising request data, the request data comprising one or more identifiers. Payload data is received, where the payload data includes advertising creative retrieval data and application retrieval data for downloading one or more application installation files for an application, where the advertising creative is associated with the application. The advertising creative is downloaded. If the application is not installed on the computing device, the one or more application installation files are downloaded. An advertising creative display opportunity is generated. The advertising creative is displayed in the advertising creative display opportunity. If a user interaction with the advertising creative is detected and the application is not installed on the computing device, the application is installed from the downloaded one or more application files.

Advertising creative and application delivery to computing devices

Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.

Performing linguistic analysis by scoring syntactic graphs

Described are methods, systems, and apparatus for recommending catalog items for blacklisting. For each of a plurality of catalog items: image features are extracted; image features are associated with the catalog item; and user purchase events, user view events, a textual description, and categories are associated with the catalog item by the recommendation system. An identification of a first blacklisted catalog item is received. A catalog item is identified by the recommendation system based on i) a similarity between the image features associated with the first blacklisted catalog item and the image features associated with the catalog item, and ii) a correspondence between at least one of the user purchase events, the user view events, the textual description, or the categories associated with the blacklisted catalog item and the user purchase events, the user view events, the textual description, or the categories associated with the catalog item.

Blacklisting based on image feature analysis and collaborative filtering

In order to provide a more efficient persistent storage device, one or more long-term storage media are included along with a non-volatile memory. In one embodiment, one portion of the non-volatile memory is used as a write buffer and a read cache for writes and reads to the long-term storage media. Interfaces are provided for controlling the use of the non-volatile memory as a write buffer and a read cache. Additionally, a portion of the non-volatile memory is used to provide a direct mapping for specified sectors of the long-term storage media. Descriptive data regarding the persistent storage device is stored in another portion of the non-volatile memory.

Non-volatile memory cache performance improvement

Techniques involving visual display of information related to matching user utterances against graph patterns are described. In one or more implementations, an utterance of a user is obtained that has been indicated as corresponding to a graph pattern through linguistic analysis. The utterance is displayed in a user interface as a representation of the graph pattern.

Visual display of semantic information

Semantic clustering

Semantic clustering and user interfaces

Semantic graphs and conversational agents

Embodiments of the invention provide a method and system for automatically instrumenting a set of web documents, such as web pages, as well as embedding structures that present advertising content via the web pages. The instrumentation automatically embeds tags that enable usage information associated with the web documents to be tracked and recorded. Many hundreds or thousands of web pages can be automatically modified without user intervention, enabling comprehensive reporting and tracking to be performed on each page. The web pages are analyzed and insertion points intelligently located. Changes can be verified to ensure that no undesirable effects resulted from embedding the content. The tags can receive parameters customized to the level of users and pages. The tags, insertion information, and other configuration information can be stored in a central repository to make subsequent tagging easier.

Automatically instrumenting a set of web documents

The described implementations relate to automatic network selection in relation to wireless mobile devices. One method can be applied to a mobile device that has both Wi-Fi and cellular capabilities. The method can attempt to identify Wi-Fi network availability for the mobile device. This method also evaluates whether to configure the mobile device to accomplish data communication over an identified Wi-Fi network or a cellular network.

Mobile device network selection

Semantic clustering and conversational agents

Published resources are made available in an encrypted form, using corresponding resource keys, published through resource key files, with the publications effectively restricted to authorized peer systems only by encrypting the resource keys in a manner only the authorized peer systems are able to recover them. In one embodiment, the resource keys are encrypted using encryption public keys of the authorized peer systems or the groups to which the authorized peer system are members. In one embodiment, the encryption public keys of individual or groups of authorized peer systems are published for resource publishing peer systems through client and group key files respectively. Group encryption private keys are made available to the group members through published group key files. Further, advanced features including but not limited to resource key file inheritance, password protected publication, obfuscated publication, content signing, secured access via gateways, and secured resource search are supported.

Distributed scalable cryptographic access control

Growing community of inventors

Bellevue, WA, United States of America

Dan Teodosiu