Google Inc.

Ritcha Gupta Ranjan

James Watts

Theodore Power

Ilan Caron

Igor Tandetnik

Matthew Hiller

Art Komninos

Stacey Gammon

Michael Loose

In some implementations, a method includes receiving a search query, at an information provider, from a mobile device; generating a plurality of search results that are responsive to the search query and directed to corresponding content providers that are external to the information provider; identifying one or more search results from the plurality of search results that are directed to partners of the information provider; and providing, to the mobile device, the plurality of search results, wherein the one or more search results directed to partners of the information provider include location information that is stored in a profile maintained by the information provider and associated with the mobile device, wherein the location information is passed to the corresponding partners upon selection of the one or more search results.

Sharing of profile information with content providers

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

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

In some implementations, a computer-implemented method includes receiving a search query, at an information provider, from a mobile device; generating a plurality of search results that are responsive to the search query and directed to corresponding content providers that are external to the information provider; identifying one or more search results from the plurality of search results that are directed to partners of the information provider; and providing, to the mobile device, the plurality of search results, wherein the one or more search results directed to partners of the information provider include location information that is stored in a profile maintained by the information provider and associated with the mobile device, wherein the location information is passed to the corresponding partners upon selection of the one or more search results.

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New York, NY, United States of America

Ritcha Gupta Ranjan