Yahoo! Inc.

Elwha LLC

Excalibur Ip, LLC

Microsoft Technology Licensing, LLC

Interval Research Corporation

Oath Inc.

R2 Solutions, LLC

Google Inc.

Vulcan Patents LLC

Marc Eliot Davis

Christopher William Higgins

Joseph James O'Sullivan

Ronald Martinez

Matthew Graham Dyor

Roderick A Hyde

Clarence T Tegreene

Nathan P Myhrvold

Mark A Malamud

Royce A Levien

Robert W Lord

Richard T Lord

Christopher T Paretti

Xuedong D Huang

Lowell L Wood, Jr

Edward K Y Jung

Chris Theodore Kalaboukis

William Henry Gates, Iii

Athellina Athsani

Qi Lu

Satya Nadella

Harry Shum

Jordin T Kare

Daniel Reed

Marco Boerries

Rahul Nair

Simon P King

Daniel A Gerrity

Ron Martinez

Robert Carter Trout

Chris W Higgins

Michael Spiegelman

Nicola Stefano Ghezzi

Keith D Saft

Mor Naaman

Luke Wroblewski

Carrie Burgener

Gur Kimchi

Philippe P Piernot

David P Reed

Danny Allen Reed

Paul A Freiberger

Golan Levin

Paul Callan

Giles N Goodhead

Sally N Rosenthal

George Grinsted

Xeudong Huang

Lili Cheng

Edward Stanley Ott, Iv

Nathanael Joe Hayashi

Neal A Bhadkamkar

Hadas Bitran

Oded Nahir

Ori Zaltzman

Todd A Agulnick

David Levitt

Eric J Horvitz

Malcolm G Slaney

Xin Li

Amit Kumar

Steven Horowitz

Steven William Macbeth

Uri Barash

Richard Junqiang Qian

Alexandra Levich

Yookyung Kim

Tom Chi

Carlo P Bernoulli

Alexander B Jaffe

Erik Nis Jessen

Hongjian Zhao

Yihong Zhao

Ming Sui

Jonathan Merrel Chum

Lee John Parry

Adam Taggart

Christopher Kalaboukis

Nathaniel Joseph Hayashi

David Ayman Shamma

Haim Somech

Doug Burger

Neal J Sample

Shane Patrick Ahern

Stelios Paparizos

Tomi Blinnikka

Cameron A Marlow

Jeonghee Yi

Arie Friedman

Jeffery Bennett

Ho John Lee

Meher Tendjoukian

Jeffrey D Friedberg

Jeff Bonforte

Duane R Valz

Cole J Poelker

Joe Hayashi

Justin Ormont

Lee J Parry

Irfan Presswala

An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his 'friends' (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Data policies for online services

A system and method to facilitate word-of-mouth advertising and sales support associated with displayed media objects on distributed networks is described. The system provides one or more advocates to a network user accessing advertising of a brand, product, or service. One or more of the advocates may be socially related to the user. User interactions with the advocates are facilitated through a real-time communication network, follow-on commercial activity is tracked, and the value of word-of-mouth advocacy is captured and distributed.

System and method for user interaction detection and communication

A system and method for Context Enhanced Mapping. A request is received from a user over a network for a map comprising an identification of a physical location, and at least one criteria. The physical location is mapped. Spatial, temporal, topical, and social data available to the network relating to the physical location and criteria is retrieved using a global index of data available to the network and prioritized for inclusion based upon the user and context of the request. The map of the physical location and at least some of the retrieved spatial, temporal, topical, and social data is displayed on a display medium.

System and method for context enhanced mapping

Techniques for content customization with security for client preferences are described herein. The techniques describe the customization of content provided by websites according to preferences, such as the interests, 'likes' and demographic and/or geographic information of users. Additional techniques describe aspects of keeping the users' preferences secure from the website, so that the users' privacy and anonymity are protected. In one implementation, a 'trusted entity' is trusted by users to obtain and store the preferences. Content may be obtained by the trusted entity from a content provider, such as a website. The content may be changed according to the preferences. The content is then provided to the users. In view of the changes made by the trusted entity, the user enjoys a customized version of the content. Additional techniques describe limits to customization, based on permissible customizations and frameworks generated by the content providers.

Content customization with security for client preferences

A system for monetization of content includes a storage device for storage and retrieval of data, and a library of content and advertisements stored within the storage device. The library comprises an organizational structure for facilitating the storage and retrieval. The system also includes a monetization engine for identifying within the library a first content item having a first monetizable feature. The system is configured for selecting a second content item from several content items within the library, and associating the second content item to the first content item by using the first monetizable feature for presentation of the second content item in conjunction with the first content item. Further embodiments include various additional systems, methods, and computer readable media for implementation of the foregoing.

Systems and methods for augmenting digital content

Methods, apparatuses, computer program products, devices and systems are described that carry out accessing at least one persona that includes a unique identifier that is at least partly based on a first user's device-identifier data and the first user's network-participation data; verifying the persona by comparing the first user's device-identifier data and the first user's network-participation data of the unique identifier to a second user's device-identifier data and the second user's network-participation data; and presenting the persona in response to a request for personal information.

Computational systems and methods for verifying personal information during transactions

Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one persona from a party to a transaction; evaluating the transaction; and negotiating receipt of at least one different persona from the party to the transaction at least partly based on an evaluation of the transaction.

Computational systems and methods for regulating information flow during interactions

Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one request for personal information from a party to a transaction; evaluating the transaction; and negotiating presentation of at least one persona to the party to the transaction at least partly based on an evaluation of the transaction.

Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one email communication from at least one member of a network; disambiguating the at least one search term including associating the at least one search term with at least one of network-participation identifier data or device-identifier data; and presenting the sender profile in association with the at least one email communication.

Computational systems and methods for identifying a communications partner

The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any 'Who, What, When, Where' from any 'Who, What, When, Where' upon the detection of an occurrence of one or more &#x201c;Who, What, When, Where&#x201d; delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data. Furthermore, because the systems coordinate delivery of messages via multiple communication channels and through multiple devices, the communication channel for delivery of a message may be dynamically determined based on the delivery conditions.

System and method for conditional delivery of messages

The disclosure describes systems and methods of ranking user interest in physical entities based on the attention given to those entities as determined by an analysis of communications from devices over multiple communication channels. The attention ranking systems allow any 'Who, What, When, Where' entity to be defined and ranked based, at least in part, on information obtained from communications between users and user proxy devices. An entity rank is generated for entity known to the system in which the entity rank is derived from the information in communications that are indicative of user actions related to the entity. The entity ranks are then used to modify the display of information or data associated with the entities. The system may also generate a personal rank for each entity based on the relation of the entity to a specified user.

Computerized systems and methods of mapping attention based on W4 data related to a user

A method and system are provided for targeting specific users with specific requested actions to be performed by the user and verified by any methods on behalf of an advertiser within an Internet display advertising campaign. The system discloses techniques for receiving an advertiser's requested actions and corresponding definitions of what constitutes a satisfaction of the action. The disclosure also details techniques for determining if and when and to what degree a requested action has been completed or satisfied by the targeted user, and details corresponding techniques for compensating the user and any other real or virtual entity who had contributed to the satisfaction of the requested action. The system implements a network of sensors that can aid in the determination of if and when and to what degree a requested action has been completed or satisfied. The network of sensors registers sensor recordings within a specialized sensor recording marketplace.

Operating a sensor recording marketplace

A method for placing advertisements selects a first content from a variety of content, analyzes the first content for the presence of advertiser references, and matches a first advertisement from an advertiser to the first content by using the advertiser references. This method determines a set of presentation preferences for presentation of the first advertisement in conjunction with the first content and includes the set of presentation preferences with the first content. In some cases, the method embeds the presentation preferences as advertising information into the first content. Advantageously, the method presents the first advertisement in conjunction with the first content by using the presentation preferences. Further, the method tracks the presentation of content for monetization events and stores the tracking information in a log. The monetization event includes, for example, an impression, a click, an acquisition, and/or a conversion. Further embodiments include a system and a computer readable medium for implementation of the foregoing.

Advertising associated with multimedia content

Growing community of inventors

San Francisco, CA, United States of America

Marc Eliot Davis