Google Inc.

Sridhar Ramaswamy

Mark Rose

Zhe Qian

Leslie Yeh

Joshy Joseph

Joerg Heilig

Mark Alan Foltz

Ariel H Bardin

Julie A Black

Angela Chunwah Lai

Thomas R Stanis

Marc Berndl

Myles A Sussman

Adam Isaac Juda

Nicholas Charles Fox

Karthik Gopalratnam

Dan Liu

Wilburt Labio

Jonathan G Alferness

Levent Ertöz

Leslie Yeh Johnson

Zhe Oian

The usefulness, and consequently the performance, of advertisements are improved by allowing businesses to better target their ads to a responsive audience. Location information is determined (or simply accepted) and used. For example, location information may be used in a relevancy determination of an ad. As another example, location information may be used in an attribute (e.g., position) arbitration. Such location information may be associated with price information, such as a maximum price bid. Such location information may be associated with ad performance information. Ad performance information may be tracked on the basis of location information. The content of an ad creative, and/or of a landing page may be selected and/or modified using location information. Tools, such as user interfaces, may be provided to allow a business to enter and/or modify location information. The location information used to target and/or score ads may be, include, or define an area.

Location-specific advertising

Keywords and placement criteria related to a campaign are received. An advertisement request that specifies a web property, e.g., a web page, is received, and keywords and placement criteria that are satisfied by the web property are identified. Based on the identified keywords and placement criteria, an advertisement to be provided with the web property is selected.

Hybrid advertising campaign

The usefulness, and consequently the performance, of advertisements are improved by allowing businesses to better target their ads to a responsive audience. For example, location information may be used in ad relevancy determination, and in attribute (e.g., position) arbitration. Such location information may be associated with price information, such as a maximum price bid, and/or with ad performance information. Ad performance information may be tracked on the basis of location information. The content of an ad creative, and/or of a landing page may be selected and/or modified using location information. Tools may be provided to enter and/or modify location information, such as location-dependent targeting information and price information. The location information used to target and/or score ads may be, include, or define an area. The area may be defined by at least one geographic reference point (e.g., defined by latitude and longitude coordinates) and perhaps additional information.

Tracking location-specific ad performance

Using location-specific ad creatives and/or ad landing pages in an ad system

Using location information from a request to control ad serving

The usefulness and the performance of advertisements are improved by allowing businesses to better target their ads to a responsive audience. Location information is determined (or accepted) and used. For example, location information may be used in a relevancy determination of an ad. As another example, location information may be used in an attribute (e.g., position) arbitration. Such location information may be associated with price information and/or ad performance information. Ad performance information may be tracked on the basis of location information. The content of an ad creative, and/or of a landing page may be selected and/or modified using location information. Finally, tools, such as user interfaces, may be provided to allow a business to enter and/or modify location information, such as location information used for targeting and location-dependent price information. The location information used to target and/or score ads may be, include, or define an area.

Using location-specific price and/or performance information in an ad system

In general, in one aspect, a first request to provide one or more advertisements on a first web page is received, the first web page comprising one or more items of web content related to a query. A first quality score is calculated for a first advertisement included in a set of one or more candidate advertisements. The first advertisement is presented on the first web page based at least in part on the first quality score. A second request is received to provide one or more advertisements on a second web page, the second web page comprising one or more different items of web content related to the query. A second quality score for the first advertisement is calculated based at least in part on the previous presentation of the first advertisement. It is determined whether to present the first advertisement on the second web page based at least in part on the second quality score.

Advertisement selection

Offers, such as bids in an advertising network, may be determined and/or managed by accepting an ad budget and at least one ad serving constraint, and then generating offer information using the ad budget and the serving constraint(s). The offer may be generated by obtaining, for each of the ad serving constraint(s), a plurality of points, wherein each point includes a cost per event value and an event quantity value. These points collectively define a landscape. A convex landscape for each of the ad serving constraint(s) is then determined from the landscape(s). One or more points from at least one of the convex landscapes is then used to generate the offer information.

Determining and/or managing offers such as bids for advertising

A system and method for selecting targeted information (e.g., advertisements) for serving with map views. The information is associated with target geographical areas (e.g., cities, metropolises, regions, countries) identified by the information providers. A given message or other set of information may be served with map views that significantly intersect the message's target area. A target area significantly intersects a map view if it overlaps the map view by at least a threshold percentage of the map view (e.g., 25%). Messages' target areas may first be compared with a map view to identify those that significantly intersect. Then, the messages whose target areas significantly intersect the map view may be filtered or screened based on any search terms or key words received with a request for the map view.

System and method for selecting targeted information for serving with a map view

The usefulness, and consequently the performance, of advertisements are improved by allowing businesses to better target their ads to a responsive audience. Location information, such as country, region, metro area, city or town, postal zip code, telephone area code, etc. is determined (or simply accepted) and used. For example, location information may be used in a relevancy determination of an ad. As another example, location information may be used in an attribute (e.g., position) arbitration. Such location information may be associated with price information, such as a maximum price bid. Such location information may be associated with ad performance information. Ad performance information may be tracked on the basis of location information. The content of an ad creative, and/or of a landing page may be selected and/or modified using location information. Finally, tools, such as user interfaces, may be provided to allow a business to enter and/or modify location information, such as location information used for targeting and location-dependent price information.

Determining and/or using location information in an ad system

The usefulness, and consequently the performance, of advertisements are improved by allowing businesses to better target their ads to a responsive audience. Location information is determined (or simply accepted) and used. For example, location information may be used in a relevancy determination of an ad. As another example, location information may be used in an attribute (e.g., position) arbitration. Such location information may be associated with price information, such as a maximum price bid. Such location information may be associated with ad performance information. Ad performance information may be tracked on the basis of location information. The content of an ad creative, and/or of a landing page may be selected and/or modified using location information. Finally, tools, such as user interfaces, may be provided to allow a business to enter and/or modify location information, such as location information used for targeting and location-dependent price information. The location information used to target and/or score ads may be, include, or define an area. The area may be defined by at least one geographic reference point (e.g., defined by latitude and longitude coordinates) and perhaps additional information. Thus, the area may be a circle defined by a geographic reference point and a radius, an ellipse defined by two geographic reference points and a distance sum, or a polygon defined by three or more geographic reference points, for example.

A system and method for identifying, from a set of geographical areas, a set of target areas that overlap a map view or view port of a map. Target areas are defined as circles having centers and radii, as sets of geographic cells overlaying the areas, or as other polygons of geographic data. Within a view port served or to be served to a user, multiple points are defined and substantially equally spaced within the view port, such that any target area that may significantly overlap the view port (e.g., at least a threshold percentage of the view port) is likely to overlap a minimum number of the points (e.g., one). Some or all target areas are then tested for intersection with some or all of the points, and calculations may be made to determine how much the intersecting areas actually overlap the view port.

System and method for identifying geographical areas that significantly overlap a map view

A system and method for determining bounds of a geographical area, such as a city, metropolis, region (e.g., state) or country. From a set of coordinates within the area (e.g., latitude/longitude coordinates), a grid of relatively small cells of geographic data is overlaid upon those coordinates and associated with the area. Each initial cell is iteratively replaced with a larger cell that encompasses the initial cell until the replacement cell intersects a cell associated with some other geographical area or some other boundary condition is met (e.g., a threshold number of replacements).

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Cupertino, CA, United States of America

Sridhar Ramaswamy