Google Inc.

Ilan Caron

Ritcha Gupta Ranjan

Theodore Power

Igor Tandetnik

Ari J Leichtberg

Mor Miller

Tzvi Itzhak Barenholz

Eric Sachs

Gregory Dardyk

David Oren

Matthew Hiller

Yaniv Shuba

Art Komninos

Michael Loose

Stacey Gammon

A duplicate keyword selection engine facilitates identification and selection of duplicate keywords that are associated with advertisements and advertising campaigns. The selection engine selects duplicate keywords from one or more sets of duplicate keywords. The duplicate keywords can be selected based on selection criterion specified by the advertiser. The selection criterion for selecting duplicate keywords for inclusion in set of duplicate keywords can be a relative attribute value that a keyword must have relative to attribute values of other keywords in the set of duplicate keywords to which the keyword belongs. For example, the selection criterion can require a duplicate keyword to have a highest attribute value relative to attribute values of the other keywords in the set of duplicate keywords.

Duplicate keyword selection

An automated system for signing up users invited to join a site based on their existing identity includes an invitation generator, an invite processor, a federated authentication module, a user information retrieval module, an account population and creation module, and a user interface module. The automated sign up module is responsive to an invite request. The automated sign up module sends an authorization request, receives the authorization response, verifies the response and retrieves user data. The automated sign up module uses the retrieved data to populate a sign up form and initialize an account. The automated sign up module sends new account information to a user for confirmation. Once confirmation has been received, the automated sign up module creates the new account and allows the user to access the system. The present disclosure includes a method for signing up users invited to join a site based on their existing identity.

Automated sign up based on existing online identity

A client-side user action analysis engine ('analysis engine') identifies user interactions with a client-side utility and provides data representing the interactions to a server side online resource analytics system ('analytics system'). The analysis engine represents user interactions with the client-side utility as network addresses for presentations of online resources to a user in a browser. The analysis engine provides the network addresses to the analytics system and statistics for the user interactions with the client-side utility are computed based on the network addresses. Reporting data specifying the statistics are received from the analytics system for presentation on a display device. The statistics provide information about user interactions with features of the client-side utility.

Client utility interaction analysis

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New York, NY, United States of America

Ilan Caron