Abstract:
Advertising targeting metrics for individuals can be derived from images associated with those individuals. Such advertising targeting metrics can include physical attributes, as well as preferences based on prior activity, or history. Public images associated with specific user identities can be processed and advertising targeting metrics can be derived therefrom to more accurately tailor the advertisements displayed to the individuals associated with those user identities. Additionally, non-public images can be likewise processed, either remotely or, for greater privacy, locally if so allowed by the user. Advertisers can then utilize the greater breath of advertising targeting metrics that can be derived from images to more accurately target advertisements to specific groups. In doing so, advertisers can submit their own images of exemplary targeted users, and the targeting metrics for those advertisers' advertisements can be automatically derived from the submitted images utilizing equivalent algorithms.
Abstract:
Methods and systems for synchronizing communication of different versions of an advertisement to multiple, disparate devices associated with a user are provided. The advertisement is received on a first device associated with the user. Incident to receiving the advertisement, the first device establishes a communication path with a second device associated with the user. Utilizing the communication path, capabilities of the second device are determined. A version of the advertisement is rendered for the second device, where the version rendered is dependent upon the determined capabilities of the second device. And, utilizing the communication path, the rendered version of the advertisement is communicated to the second device.
Abstract:
Methods and systems for synchronizing communication of different versions of an advertisement to multiple, disparate devices associated with a user are provided. The advertisement is received on a first device associated with the user. Incident to receiving the advertisement, the first device establishes a communication path with a second device associated with the user. Utilizing the communication path, capabilities of the second device are determined. A version of the advertisement is rendered for the second device, where the version rendered is dependent upon the determined capabilities of the second device. And, utilizing the communication path, the rendered version of the advertisement is communicated to the second device.
Abstract:
Described herein are technologies related to charging advertisers for advertisements presented to a user in an interactive advertising session. An advanced interactive system captures gestures, spoken words, facial expressions, and the like, and advertisements are presented to a user based upon such captured gestures, spoken words, facial expressions and the like. User interactions with respect to these advertisements are then captured, and advertisers are charged fees per captured interactions between the user and the advertisements.
Abstract:
One or more techniques and/or systems are disclosed for providing a rich email experience for an email with an attachment. Intention metadata that is associated with an attachment to an email is identified, where the intention metadata indicates a sender intention for the attachment. The intention metadata may be identified prior to sending the email and included with the email, or identified after receipt of the email. Further, the intention metadata is applied to the attachment so that the attachment is presented in a rich format to the recipient that reflects the sender intention for the attachment, such as highlighting portions, and/or presenting images, for example, in a desired sequence.
Abstract:
One or more techniques and/or systems are disclosed for providing a rich email experience for an email with an attachment. Intention metadata that is associated with an attachment to an email is identified, where the intention metadata indicates a sender intention for the attachment. The intention metadata may be identified prior to sending the email and included with the email, or identified after receipt of the email. Further, the intention metadata is applied to the attachment so that the attachment is presented in a rich format to the recipient that reflects the sender intention for the attachment, such as highlighting portions, and/or presenting images, for example, in a desired sequence.
Abstract:
Methods and systems for enabling an advertiser to utilize device-to-device interactions to track word-of-mouth advertising and to take advantage of differentiated pricing schemes based on a quantity of an item are provided. An advertisement is received on a first device, and the first device identifies a second device that is receptive to interaction. The first device interacts with the second device. Concurrently with the interaction, an advertisement identifier associated with the advertisement is communicated from the first device to the second device. The advertisement identifier enables the second device to receive the advertisement.
Abstract:
A method, computer readable media, and computer system for generating advertisement messages are provided. The computer system includes an advertisement engine and an advanced interactive platform that receive user events. The advanced interactive platform selects response templates associated with user events received from a user. In turn, the advanced interactive platform transmits the response templates to the advertisement engine. The advertisement engine processes the response template and populates the response template with advertising hints to dynamically generate advertisement messages. The advertisement engine may include indicators that solicit user feedback in the advertisement message. The user feedback received by the advanced interactive platform triggers additional user events that are used to generate additional advertisements and to discover interests of the user.
Abstract:
Advertising targeting metrics for individuals can be derived from images associated with those individuals. Such advertising targeting metrics can include physical attributes, as well as preferences based on prior activity, or history. Public images associated with specific user identities can be processed and advertising targeting metrics can be derived therefrom to more accurately tailor the advertisements displayed to the individuals associated with those user identities. Additionally, non-public images can be likewise processed, either remotely or, for greater privacy, locally if so allowed by the user. Advertisers can then utilize the greater breath of advertising targeting metrics that can be derived from images to more accurately target advertisements to specific groups. In doing so, advertisers can submit their own images of exemplary targeted users, and the targeting metrics for those advertisers' advertisements can be automatically derived from the submitted images utilizing equivalent algorithms.
Abstract:
Systems, methods, and computer media for determining supply of and demand for a category of product or service are provided. Demand for a category of good or service is determined by combining advertising performance information for online advertisements relating to the category of goods or services and Internet query information relating to the category of goods or services using a weighting scheme. Supply of the category of good or service is determined by combining online advertisement placement information, offline advertisement placement information, and offline sales location information relating to the category of good or service using a weighting scheme. A user may select to view supply, demand, or supply and demand for the category of good or service.