Google Inc.

Clarence Christopher Mysen

Johnny C Chen

Naval Verma

Jennifer Liu

Gregory J Friedman

Jennifer Liu Low

Emily Kay Moxley

Alice S Tull

Khanh B Nguyen

Christopher M Roat

Scott E Schwartz

David A Sloan

A content provider can provide content, such as advertisements or other promotional material, to a recipient. A distribution system of the content provider can receive a query and select one or more advertisements and a user interface for presenting the advertisements based on the query, information associated with the user, a set of queries received from the user, and/or other information. A model for selecting the user interface can be generated by serving available user interfaces randomly or pseudo-randomly and monitoring user interaction with the served user interfaces. The model can be updated during regular use based on the performance of the user interfaces.

Presenting search results in a dynamically formatted graphical user interface

A content provider can provide content, such as advertisements or other promotional material, for display by a mobile application. As contextual information is typically limited for mobile applications, the content provider can use other information in addition to or in place of contextual information to select advertisements. This information can include location information, user activity with regards to the mobile application, information regarding a recipient of the advertisement, such as demographic information, information regarding the mobile application, such as information regarding the type of mobile application, and product inventory information. A user profile also may be used to select advertisements. The user profile can include a set of merchants and merchant types, for example clothing retailers, to which a user may be more responsive. The user profiles can be generated and updated by logging merchants that the user visits or interacts with via advertisements.

Delivery and advertisements to mobile applications

A bid for a content slot from a content provider is received. The bid includes a revenue-sharing bid. It is determined that the bid is a winning bid and content is presented from the content provider in the content slot. Presentation details are logged that include a time when the content was presented. At a later time, an indication is received of an action, the indication including an indication that the action is responsive to the content having been presented previously. Based on the action, the content provider is charged an appropriate amount based on the revenue sharing bid.

Managing revenue sharing bids

A system includes an application programming interface, an indexer, a security unit and at least one search engine. The application programming interface uploads user-selected custom content from a first user. The indexer indexes the custom content to produce a first search index. The security unit authenticates a user and the at least one search engine receives a search query from the user, searches the first search index based on the search query, and searches a second search index based on the search query and based on results of the user authentication, where the second search index is different than the first search index.

Custom search index

Methods, systems, and computer program products are provided for tracking user interactions with interfaces and determining social data. One example method includes receiving from an entity an indication of interfaces that are used to interact with users, registering the user interfaces, tracking user interaction with the interfaces, and using the tracking information to determine all actions associated with a given user that are to be attributed to the entity.

Correlating user interactions with interfaces

A system searches a first search index based on a search query to obtain first search results and searches a second search index based on the search query to obtain second search results. The system further ranks the first search results using a first ranking algorithm and one or more first ranking parameters to produce ranked first search results, and ranks the second search results using a second ranking algorithm and one or more second ranking parameters to produce second search results, where the one or more first ranking parameters are different than the one or more second ranking parameters and where the one or more second ranking parameters include at least one of previous user feedback associated with custom content that corresponds to the second search index, annotations of the custom content provided by a user, or usage patterns associated with users previously accessing and searching the custom content. The system also provides the ranked first and second search results to a user.

Ranking custom search results

In one aspect, methods include receiving one or more first bids that have associated fixed prices, receiving one or more second bids that have dynamic prices that are adjusted at a time of auction in consideration of other bids in the auction, conducting an auction including pricing the one or more first bids and the one or more second bids, the one or more first bids being priced at their respective fixed prices and the one or more second bids being priced at respective amounts that maintain each second bid in a position marginally above a next-highest bid in the auction, and serving content based on one or more winning bids from the auction.

Mixing first and second price bids in an auction

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for location centric user profiling and services. In one aspect, a method includes accessing historical location data specifying physical locations at which user devices were detected; accessing network data for each of the users of the user devices, the network data for each user indicative of subjective preferences of the user; for each of the users, determining physical locations specified by the location data, determining entities from the physical locations and visited by the user, determining for each entity a satisfaction measure that is indicative of a satisfaction of the user with the entity, and generating a user profile for the user specifying topics that are of interest to the user, the entities having been determined to have been visited by the user, and the satisfaction measures of the entities.

Location-centric recommendation service for users

A system includes a server to store content and a content searching system. The content search system includes an application programming interface to receive user-selected metadata uploaded from a first user, where the metadata includes data that describes content stored at a server. The content searching system further includes an indexer to index the metadata to produce a metadata search index, a search engine to search the metadata search index based on a search query received from a user to produce metadata search results, and a delivery engine to send the metadata search results, and a link to the remote server, to the user to permit the user to access the content stored at the remote server.

Custom search index data security

A query prefix is received from a user device. A user identifier is determined based on the user device. A user category is determined based on the user identifier. A node representing the query prefix is located in a query graph. Descendent nodes of the located node that represent queries are located. Each node has one or more user category specific frequency measures and each user category specific frequency measure is associated with a user category. The queries represented by the located nodes are ranked based on the associated user category specific frequency measure associated with the identified user category. The ranked queries are sent to the user device.

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San Francisco, CA, United States of America

Clarence Christopher Mysen