Google Inc.

Sumit Kumar Sanghai

Pranav Tiwari

Mayur Dhondu Datar

Dandapani Sivakumar

Raveesh Nayar

Kiran S Panesar

Moustafa A Hammad

Raghunandan Hulikal Keshavan

Deepak Raghuwanshi

Shachi Dave

Selvam Mahalingam

Aspects of the disclosure assist users with creative development of advertisements by converting successful advertisements into templates for use in the creation of new advertisements. The system and method suggest an advertisement to a user based on the type of content for which the user is advertising. For example, an advertisement may include a set of display criteria, and a set of creative content. The display criteria define a set of circumstances during which the advertisement may be displayed (e.g., a set of keywords that trigger the display of the advertisement). Advertisements that are particularly successful for a given set of display criteria are depersonalized and converted to templates. These templates may be provided during creation of new advertisements as suggested content.

Generation of an advertisement

Methods and apparatus for ranking suggestions for input of a user based on one or more attributes of the user that are associated with one or more of the suggestions. User attributes of the user's user profile may be matched to user attributes of a suggestion and the suggestion ranked based at least in part on bias measures associated with the matched user attributes of the suggestion. Some implementations are directed to determining, for each of a plurality of suggestions, multiple user attributes and associated bias measures to associate with the suggestion.

Ranking suggestions based on user attributes

Methods and apparatus for ranking search result documents for a query of a user based on one or more attributes of the user that are associated with one or more of the search result documents. User attributes of the user's user profile may be matched to user attributes of a search result document and the search result document ranked based at least in part on bias measures associated with the matched user attributes. Some implementations are directed to determining, for each of a plurality of documents, multiple user attributes and associated bias measures to associate with the document. A user attribute and associated bias measure for the document may be determined based on indicated interactions with the document by a set of users associated with the user attribute.

Ranking search result documents based on user attributes

A system and method for identifying contrarian terms is disclosed. The system and method includes identifying a plurality of websites describing a product or service, analyzing content in the plurality of websites, the content relating to the described product or service, identifying contrarian terms based on the website content using a processing circuit, wherein the contrarian terms comprise descriptions of a product or service, associating the identified contrarian terms with a category, within which the product or service has been categorized in at least one of the plurality of websites, and storing the contrarian terms and the associated category in a memory.

Identifying contrarian terms based on website content

For processing multi-geo intent keywords, a keyword is identified from a webpage corresponding to an advertiser. A plurality of search queries which include the keyword are obtained. For each search query of the plurality of search queries, a determination is made whether the search query includes a location term, and in response to the determination that the search query includes the location term, the location term is associated with the keyword. A determination is made that the keyword is multi-geo intent keyword having multiple geographical locations associated therewith, based on multiple location terms being associated with the keyword. In response to identifying the keyword as multi-geo intent keyword, a determination is made that the webpage does not correspond to a single geo-location. The keyword is provided as a suggestion to the advertiser for bidding, based on the determination that the webpage does not correspond to a single geo-location.

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Bengaluru, India

Sumit Kumar Sanghai