Yahoo! Inc.

Alta Vista Company

Digital Equipment Corporation

Overture Services, Inc.

Compaq Computer Corporation, Inc.

Other

Google Inc.

Hewlett-packard Development Company, L.p.

Oath Inc.

Excalibur Ip, LLC

Compaq Information Technologies Group, L.p.

Yahoo! Overture

Andrei Z Broder

Vanja Josifovski

Steven Charles Glassman

Krishna Asur Bharat

Mark Steven Manasse

Marcus Felipe Fontoura

Evgeniy Gabrilovich

Michael David Mitzenmacher

Monika R Henzinger

Charles Gregory Nelson

Jeffrey Adgate Dean

Lance Alan Riedel

Sihem Amer Yahia

Michael Burrows

Monika Hildegard Henzinger

Deepak Agarwal

Geoffrey G Zweig

Sanjay Ghemawat

Shanmugasundaram Ravikumar

Mark David Lillibridge

Jeffrey Clifford Mogul

Martin Abadi

Robert Hall

Ronny Lempel

Edo Liberty

Bo Pang

Farzin Maghoul

Edward Bortnikov

Wei-Cheng Lai

Deepayan Chakrabarti

Kunal Punera

Su-Lin Wu

Sergei Vassilvitskii

Anirban Dasgupta

Vishwanath Tumkur Ramarao

Idan Szpektor

Mark Risher

Yehuda Arie Koren

Peter Mika

Christopher C LuVogt

Yoelle Maarek Smadja

Debora Donato

Donald Metzler

Prashanth Balakrishna Bhat

Mark Alexander Shand

Krishna Bharat

Anna R Karlin

Hila Becker

Peter Ciccolo

Dejan Diklic

Jeffrey Dean Black

Richard A Kasperski

Laurent Rene Moll

Suresh Venkatasubramanian

Puneet Kumar

A request is received, over a network from a requesting user to sort a plurality of comments relating to online content by a social status of a respective one of a plurality of commenters associated with each of the plurality of comments. The social status of the each of the plurality of commenters is determined using a computing device. The plurality of comments are sorted, using the computing device, by the social status of the respective one of the plurality of commenters associated with each of the plurality of comments. A representation of the sorted comments is transmitted, over the network, to the requesting user. The social status of commenters can reflect, in various embodiments, the status of commenters as favorite commenters of the requesting user, as members of the requesting user's social network, or as a top rated commenters in an online community.

System and method for social filtering of comments

The present invention is directed towards methods and computer readable media for annotating and ranking user reviews on social review systems with inferred analytics. A reference framework is provided by creating context according to previous activity, bias, or background information of a given reviewer. The method of the present invention comprises receiving a first query identifying a given content item, generating a collection of content items based on one or more identical objective attributes associated with the given content item, identifying one or more subjective attributes associated with a given item in the collection of items, and providing a reference framework to interpret the subjective attributes associated with each item in the collection.

System and method for annotating and ranking reviews with inferred analytics

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. A request is received for content to be displayed on a resource to a user. The user is identified. Candidate content items are identified from an inventory of content items that are responsive to the request. The candidate content items are evaluated including determining bid-eligible content items including content items that satisfy an eligibility threshold based on an eligibility status associated with a respective candidate content item. The eligibility status is based at least in part on results associated with past opportunities to present a content item to identified user. An auction is conducted to identify a winner from among the bid-eligible content items. The winning content item is provided responsive to the request. An eligibility status is updated for losing and winning content items in the auction.

Limiting bid selection to eligible content items

The present invention provides a method and system for providing targeted applications within a search engine results page. The method and system includes receiving a search query from a user and interpreting the search query. The method and system then first maps the interpreted query to one or more action templates, wherein mapping the interpreted query to one or more action templates comprises selecting one or more actions associated with the interpreted query. The method and system then maps the selected one or more actions associated with the interpreted query to a plurality of applications and selecting one or more applications associated with the one or more actions. Finally, the method and system displays the one or more applications within a search results page.

System and method for providing contextual actions on a search results page

A computer-implemented method is disclosed for determining a type of landing page to which to transfer web searchers that enter a particular query, the method comprising: classifying a landing page as one of a plurality of landing page classes with a trained classifier of a computer based on textual content of the landing page; determining, by the computer, characteristics of one or more query to be associated with the landing page; and choosing, with the computer, whether to retain or to change classification of the landing page to be associated with the one or more query based on relative average conversion rates of advertisements on a plurality of manually-classified landing pages when associated with the characteristics of the one or more query.

Context transfer in search advertising

Methods and systems are provided that may be used to determine a probability of whether a visitor to a web document is likely to click on a web advertisement. An exemplary method may include detecting one or more features in a web document. One or more expert statistical models to which the web document belongs may be determined and associated weightings may be determined based, at least in part, on the one or more features detected. A click-through-rate probability for a web advertisement to be placed on the web document may be estimated based on the one or more expert statistical models.

Method and system for quantifying user interactions with web advertisements

Disclosed is a system and method for securely, conveniently and effectively storing information in a secure data repository or database, and securely delivering such information to a respective user. The secure repository and database, referred to as a Vault, is a secure storage utility used for storing and safekeeping valuable personal information and documents associated with a user. The Vault can store and provide access to personal documents for a user, such as but not limited to, wills, irreplaceable pictures or video, financial documents/bills, contracts, account numbers and credit card numbers. The Vault can be provided as a service within a smart, cloud-based system, which intelligently gathers, stores and initiates actions for a variety of user documents.

System and method for a cloud-based electronic communication vault

A system and method to facilitate matching of content to advertising information in a network are described. A request for advertising information is received over a network, the advertising information to be displayed for a user entity in association with content information within a web page requested by the user entity. Advertising information related to one or more themes of the content information on the web page is further determined, the themes representing subject matter contextually related to the content information. Advertisements are further selected from the advertising information based on keywords and metadata stored within the web page and based on a set of predetermined parameters stored within the data storage module. The selected advertisements are further ranked to obtain a ranked list of advertisements. The ranked list of advertisements is subsequently optimized based on feedback data to obtain a list of optimized advertisements to be displayed for the user entity on the requested web page.

System and method to facilitate matching of content to advertising information in a network

A system and method to facilitate classification and storage of events in a network are described. An event and associated content information are received from an entity over a network. The content information is further analyzed to determine one or more themes representing subject matter related to the content information. The event is further classified according to the themes into one or more corresponding categories. Finally, the event is stored into one or more corresponding databases of a data storage module according to the one or more corresponding categories.

System and method to facilitate classification and storage of events in a network

The World Wide Web portion of the Internet is largely supported by advertising. To deliver the most effective advertising, a system for dynamically creating customized advertisements is introduced. The behavior and any demographic information known about web viewers is used to select an advertising template that will be used to create an advertisement. The advertisement template comprises an incomplete advertisement with certain missing information along with identifiers for functions that may be used to complete the advertisement. In one embodiment, the functions may specify how the advertiser associated with the advertisement template may be contacted with the demographic information known about the user in order to fill in the missing portions of advertisement template. For example, the advertisement may concern flights to Hawaii and the advertiser may fill in the price of a flight to Hawaii based upon being provided with the user's location. The complete advertisement may then be displayed to the user.

Methods of dynamically creating personalized Internet advertisements based on advertiser input

A system and method for implementing a multi-step challenge and response test includes steps or acts of: using an input/output subsystem for presenting a series of challenges to a user that require said user to correctly solve each challenge before a next challenge is revealed to the user; receiving the user's response to each challenge; and submitting a last response in the series of challenges to a server for validation. The method further includes: using a processor device configured to perform for each challenge in the series of challenges: internally validating the response by comparing the user's response to a correct response; and using the user's response, decrypting the next challenge to reveal the next challenge; wherein the next challenge remains obfuscated until a previous challenge is correctly solved.

Multi-step captcha with serial time-consuming decryption of puzzles

The present invention is directed towards systems, methods and computer program products for providing query-based advertising content. According to one embodiment, a method for providing query-based advertising content comprises receiving a web query and generating an ad query associated with the web query, wherein the ad query is generated on the basis of one of a query to advertisement relationship, a query to feature vector relationship, or a rewritten query vector. An advertisement is selected on the basis of the generated ad query.

Systems and methods for query expansion in sponsored search

Embodiments are directed towards identifying auto-folder tags for messages by using a combinational optimization approach of bi-clustering folder names and features of messages based on relationship strengths. The combinational optimization approach of bi-clustering, generally, groups a plurality of folder names and a plurality of features into one or more metafolders to optimize a cost. The cost is based on an aggregate of cut relationship strengths, where a cut results when a relationship folder name and feature are grouped in separate metafolders. Furthermore, the plurality of folder names and the plurality of features are obtained by monitoring actions of a plurality of users, where the folder names are user generated folder names and features are from a plurality of messages. The metafolders may be used to tag new user messages with an auto-folder tag.

Mining global email folders for identifying auto-folder tags

System and method for annotation and ranking of reviews personalized to prior user experience

The present invention is directed towards methods and computer readable media for annotating and analyzing user reviews on social review systems with inferred analytics. A reference framework is provided by creating context according to previous activity, bias, or background information of a given reviewer. The method of the present invention comprises receiving a first query identifying a given content item, generating a collection of content items based on one or more identical objective attributes associated with the given content item, identifying one or more subjective attributes associated with a given item in the collection of content items, and providing a reference framework to interpret the subjective attributes associated with each item in the collection. According to the method, the reference framework is created by analyzing previous generated subjected attributes, wherein the previously generated subjected attributes comprise one or more reviews of content items entered by a user into a social review system.

System and method for annotating and analyzing reviews with inferred analytics

Growing community of inventors

Mountain View, CA, United States of America

Andrei Z Broder