Abstract: To provide secure single-source panel audience measurement data while providing confidentiality and security of panel membership, an audience measurement server may capture content identifiers and client identifiers of devices receiving content. A panel provider may generate a probabilistic data structure via a hash of the client identifiers. The audience measurement server may utilize the filter array to extract a subset of measurement data including the data of the panel members, as well as data of some non-panel members as false positives, without being able to distinguish between the members and non-members. The audience measurement server may encrypt the extracted subset of data with each client identifier corresponding to an item of data as a key, and send the encrypted data to the panel provider, thus including both panel and some non-panel data, with the panel provider only able to decrypt data corresponding to its own panel members.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for determining bids for campaigns. The method comprises receiving an indication from a sponsor to create a video campaign and presenting a user interface for the sponsor to designate a goal for the video campaign. The goal is expressed in terms of a balance between maximizing any views versus engaged views. Engaged views arise when a user indicates their desire to view a video content item or where the user performs one or more actions related to the video content item while or after viewing the video content item. The method further comprises receiving a sponsor selection of a goal, receiving a maximum bid to be applied to all video campaign formats, automatically determining an adjusted maximum bid for each format based on the maximum bid and sponsor goal selection, and storing the campaign.

Abstract: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for determining bids for campaigns. The method comprises receiving an indication from a sponsor to create a video campaign and presenting a user interface for the sponsor to designate a goal for the video campaign. The goal is expressed in terms of a balance between maximizing any views versus engaged views. Engaged views arise when a user indicates their desire to view a video content item or where the user performs one or more actions related to the video content item while or after viewing the video content item. The method further comprises receiving a sponsor selection of a goal, receiving a maximum bid to be applied to all video campaign formats, automatically determining an adjusted maximum bid for each format based on the maximum bid and sponsor goal selection, and storing the campaign.

Abstract: Aspects and implementations of the present disclosure are directed to methods of and systems for search lift remarketing. In general, in some implementations, a first content item is distributed to client devices and search lift attributable to the first content item is measured by examining subsequent requests received from client devices to which the first content item has been distributed as compared to requests received from similar client devices to which the first content item has not been distributed. Keywords benefiting from search-lift attributable to the first content item are used to determine when to send a second content item in response to requests from client devices in a select audience. In some implementations, requests are compared to identify a set of keywords invoked more frequently after presentation of the first content item where an increase in usage exceeds a threshold or otherwise indicates a statistical significance.

Abstract: This disclosure includes a system and method to provide advertisements targeting media playlists. The method may include receiving a user request for a media item, identifying one or more media playlists associated with the requested media item, obtaining one or more advertisements targeting the identified media playlists, and presenting at least one of the obtained advertisements along with the requested media item to a user.

Abstract: A graphical interface is provided that enables advertisers to iteratively define an audience of video database users that is most likely to purchase the good or service they are advertising and view detailed information associated with the audience.

Abstract: Aspects and implementations of the present disclosure are directed to methods of and systems for search lift remarketing. In general, in some implementations, a first content item is distributed to client devices and search lift attributable to the first content item is measured by examining subsequent requests received from client devices to which the first content item has been distributed as compared to requests received from similar client devices to which the first content item has not been distributed. Keywords benefiting from search-lift attributable to the first content item are used to determine when to send a second content item in response to requests from client devices in a select audience. In some implementations, requests are compared to identify a set of keywords invoked more frequently after presentation of the first content item where an increase in usage exceeds a threshold or otherwise indicates a statistical significance.

Abstract: Aspects and implementations of the present disclosure are directed to methods of and systems for search lift remarketing. In general, in some implementations, a first content item is distributed to client devices and search lift attributable to the first content item is measured by examining subsequent requests received from client devices to which the first content item has been distributed as compared to requests received from similar client devices to which the first content item has not been distributed. Keywords benefiting from search-lift attributable to the first content item are used to determine when to send a second content item in response to requests from client devices in a select audience. In some implementations, requests are compared to identify a set of keywords invoked more frequently after presentation of the first content item where an increase in usage exceeds a threshold or otherwise indicates a statistical significance.

Abstract: To provide secure single-source panel audience measurement data while providing confidentiality and security of panel membership, an audience measurement server may capture content identifiers and client identifiers of devices receiving content. A panel provider may generate a probabilistic data structure via a hash of the client identifiers. The audience measurement server may utilize the filter array to extract a subset of measurement data including the data of the panel members, as well as data of some non-panel members as false positives, without being able to distinguish between the members and non-members. The audience measurement server may encrypt the extracted subset of data with each client identifier corresponding to an item of data as a key, and send the encrypted data to the panel provider, thus including both panel and some non-panel data, with the panel provider only able to decrypt data corresponding to its own panel members.

Abstract: Methods and systems for serving at least one online resource item to a user based on a state of the user are provided. A host computing device in communication with a memory receives data representing a record of movements of a user device. A user device profile associates locations of the user device with points in time, and with a state of a user. Following receipt of a resource request from the user device, a state of the user is determined. After at least one candidate online resource item responsive to the resource request are received, at least one online resource item relevant to the state of the user is identified and served to the user device.

Abstract: Systems, methods, and computer-readable storage media that may be used to attribute events such as clicks and conversions to impressions are provided. One method includes determining a local time and a timezone associated with each of a plurality of events of a content campaign. The method further includes generating a first event grouping including a first set of events having timezones matching at least one grouping timezones. The method further includes generating a second event grouping including a second set of the events based on both the local times and the timezones of the events. Generating the second event grouping includes selecting the second set of events based on the local times of the events in view of the timezones of the events. The method further includes, for each grouping, determining a number of events associated with frequency groups based on a number of impression events associated with the events.

Abstract: Methods and systems for serving at least one online resource item to a user based on a state of the user are provided. A host computing device in communication with a memory receives data representing a record of movements of a user device. A user device profile associates locations of the user device with points in time, and with a state of a user. Following receipt of a resource request from the user device, a state of the user is determined. After at least one candidate online resource item responsive to the resource request are received, at least one online resource item relevant to the state of the user is identified and served to the user device.

Abstract: To provide secure single-source panel audience measurement data while providing confidentiality and security of panel membership, an audience measurement server may capture content identifiers and client identifiers of devices receiving content. A panel provider may generate a probabilistic data structure via a hash of the client identifiers. The audience measurement server may utilize the filter array to extract a subset of measurement data including the data of the panel members, as well as data of some non-panel members as false positives, without being able to distinguish between the members and non-members. The audience measurement server may encrypt the extracted subset of data with each client identifier corresponding to an item of data as a key, and send the encrypted data to the panel provider, thus including both panel and some non-panel data, with the panel provider only able to decrypt data corresponding to its own panel members.

Abstract: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.

Abstract: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.

Abstract: Methods, systems, user interfaces, and apparatus, including computer programs encoded on a computer-readable storage medium, for providing performance estimates for a content campaign. A method includes identifying a campaign including one or more targeting criteria for targeting content items to users; identifying historical auction results; storing the historical auction results as a plurality of documents; evaluating the plurality of documents to determine an estimated number of impressions that would occur in the plurality of documents based on the targeting criteria; determining an estimated total number of impressions for the targeting criteria in the time period based at least in part on the estimated number of impressions in the plurality of documents; and determining a total number of unique targeted users including determining a frequency of impression and determining the total number of unique targeted users as the total number of impressions divided by the frequency of impression.

Abstract: A video hosting service stores and provides video content to a client via a network. Advertisers search for videos to target by entering search criteria into a user interface. Advertisers can search based on characteristics of the audience (viewers) of the videos, such as age range, gender, and interests of the viewers, and/or based on metadata associated with the videos. A set of videos that meet the search criteria is then retrieved. Advertisers can select individual ones of these videos or groups of these videos. The selected videos or groups of videos can be added to a media plan. The items from the media plan can be imported into an advertising campaign management system, wherein the advertiser's ads are associated with the selected videos. Subsequently, viewers who view the selected videos also view the advertiser's ads in connection with the videos.

Abstract: A method for generating a session key on demand in a network among participating network devices, including choosing a private and public key according to a public key encryption scheme, and broadcasting the public key to each other participating network device; choosing a local contribution value from a multiplicative group of size q; encrypting the local contribution value under the received public key to an encrypted contribution value and sending the encrypted contribution value; receiving encrypted contribution values and deriving decrypted contribution values by applying the private key; deriving a blinded session key from the decrypted contribution values and the local contribution value; agreeing on one of the blinded session keys by using an agreement protocol; and deriving the session key from the agreed-on blinded session key by applying one of the decrypted contribution values and the contribution value A corresponding computer program element, computer program product, and computer device.

Abstract: A method for generating a session key on demand in a network among participating network devices, including choosing a private and public key according to a public key encryption scheme, and broadcasting the public key to each other participating network device; choosing a local contribution value from a multiplicative group of size q; encrypting the local contribution value under the received public key to an encrypted contribution value and sending the encrypted contribution value; receiving encrypted contribution values and deriving decrypted contribution values by applying the private key; deriving a blinded session key from the decrypted contribution values and the local contribution value; agreeing on one of the blinded session keys by using an agreement protocol; and deriving the session key from the agreed-on blinded session key by applying one of the decrypted contribution values and the contribution value A corresponding computer program element, computer program product, and computer device.