Google Inc.

Shivakumar Venkataraman

Vivek Raghunathan

Emily Kay Moxley

Brett A McLarnon

Nipun Kwatra

David J Ganzhorn

David G Arthur

Rohan Jain

Adam Isaac Juda

Anshul Kothari

Tarun Kumar Jain

Srdjan Petrovic

Uma Mahadevan

David Lloyd Jones

Giao Nguyen

William Sands Robinson

Arnar Mar Hrafnkelsson

Alan Wayne Blount

Gokay Baris Gultekin

Vineet Gupta

Weipeng Paul Yan

Roberto J Bayardo, Jr

Pradnya Karbhari

Abhinav Jalan

Ramanathan V Guha

Ramakrishnan Srikant

Roberto Javier Bayardo

Abhishek Bapna

Aranyak Mehta

Nagbhushan Veerapaneni

Ramananthan V Guha

A system for providing advertisements with search results in response to a search query comprises a front end and an advertisement server. The front end is configured: to receive a search query; to send a first search request to a search server and sending a first advertisement request to an advertisement server, wherein the first search request includes the search query or information based on the search query, and wherein the first advertisement request includes the search query or information based on the search query and an indication that an advertisement response is not to be provided; to receive search results from the search server; and to send at least some of the search results to the advertisement server in a second advertisement request, wherein the second advertisement request includes an indication that an advertisement response is to be provided. The advertisement server is configured: in response to receiving the first advertisement request, to search for advertisements related to the search query to produce plural advertisement results each with an associated score; in response to receiving the second advertisement request, to modify the score of at least one of the plural advertisement results; to rank the plural advertisement results according to their scores; to select one or more of the highest ranked plural advertisement results; and to send an advertisement response to the front end, the advertisement response including the selected one or more highest ranked plural advertisement results. The front end is configured to provide the search results with the selected one or more highest ranked plural advertisement results.

Handling search queries

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a computer-implemented method for providing creatives. The method comprises identifying, using one or more processors, a creative for processing, the creative including a title portion and a body portion, where the body portion includes a visual uniform resource locator (URL), the visual URL comprising a visual portion and a link to a resource. The method further comprises evaluating the visual URL for inclusion in the title portion, including determining when promotion of the visual URL satisfies one or more promotion criterion, and if so, promoting the visual URL for inclusion in the title portion. The method further comprises providing the creative including the title portion with the promoted visual URL.

Promoting content

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium for selecting content. A method includes: receiving an initial request for content that is to be presented along with search results responsive to a search request; identifying one or more eligible content items from the candidate content items that satisfy the initial request; receiving information describing the search results; re-processing the initial request using the information including one or more of adding other eligible content items, removing one or more previously eligible content items, adjusting a quality score or a bid associated with one or more eligible content items, or re-ranking the eligible content items; conducting an auction based on ranked eligible content items; and selecting one or more content items from among the eligible content items based on the results of the auction and transmitting the selected one or more content items.

Adjusting content selection based on search results

Methods, systems, and apparatus, including computer program products, in which participation probabilities for content items in content item selection processes are adjusted based upon predicted performance measures. The predicted performance measures can be compared to one or more other predicted performance measures and/or threshold/scaling data to determine how to adjust the participation probability of the content item in the content item selection process.

Adjusting participation of content in a selection process

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a computer-implemented method that includes identifying, using one or more processors, a creative for processing. The creative includes a title portion and a body portion. The body portion includes a plurality of lines of text includes a first line of text and a second line of text. The method further includes evaluating the body portion including determining when the body portion includes a complete phrase. The evaluating includes applying a test to one or more words in the body portion. The method further includes promoting, using the one or more processors, the complete phrase into the title portion. The method further includes providing the creative includes the title portion with the promoted complete phrase.

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for providing creatives. The method comprises identifying a creative for processing, the creative including a title portion, a body portion and optionally a reference portion. The method further comprises evaluating the body portion and the reference portion including determining when either portion includes one or more candidate words or candidate reference that can be added to the title portion. The method further comprises determining when, if promoted, the candidate one or more words or candidate reference would be redundant to content already included in the title portion. The method further comprises promoting the candidate one or more words or candidate reference into the title portion when no unacceptable redundancy is determined. The method further comprises providing the creative including the title portion with the promoted candidate one or more words or candidate reference.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting controlling keywords. In one aspect, a method includes determining that two or more targeting keywords for a same content item source are matched by one or more terms in a content item request, where a first targeting keyword matches the one or more terms with a more specific type of match than the second targeting keyword. If the bid associated with the second targeting keyword does not exceed the bid associated with the first targeting keyword, the first targeting keyword and the second targeting keyword are ranked based on selection scores. The targeting keywords are ranked based at least in part on the quality scores when the bid associated with the second targeting keyword does exceed the bid associated with the first targeting keyword.

Tie breaking rules for content item matching

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a computer-implemented method for providing a creative. The method comprises identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion. The method further comprises evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion. The method further comprises promoting, using the one or more processors, the one or more words into the title portion. The method further comprises providing the creative including the title portion with the promoted one or more words.

Apparatus, systems and methods for predictive query identification for advertisements are disclosed. Candidate query are identified from queries stored in a query log. Relevancy scores for a plurality of web documents are generated, each relevancy score associated with a corresponding web document and being a measure of the relevance of the candidate query to the web document. A web document having an associated relevancy score that exceeds a relevancy threshold is selected. The selected web document is associated with the candidate query.

Query identification and association

An advertisement associated with a bid and a budget for placement of the advertisement is received, and a determination as to whether to present the advertisement is made. A number of times the advertisement is presented is calculated, and the number of times the advertisement is not presented is calculated. An impression share statistic for the advertisement is calculated based on the calculation of the number of times the advertisement is presented and the calculation of the number of times the advertisement is not presented.

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Santa Clara, CA, United States of America

Shivakumar Venkataraman