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Dongle for TV Location Identification and Advertisement Insertion

IP.com Disclosure Number: IPCOM000236792D
Publication Date: 2014-May-15

Publishing Venue

The IP.com Prior Art Database

Abstract

People are regularly exposed to advertising throughout the day through various forms of media, including print, television, radio and the Internet. These different forms of media typically carry advertising that is intended to be experienced by a mass audience. Even though mass advertising is effective, advertisers would also like to specifically target the interests of particular users by presenting advertising to those users when they are likely to be receptive to the message. This is challenging because advertisers have thus far not been able to collect detailed information about particular users with respect to how those users access and consume a diverse set of media throughout the day. In addition, measuring advertisement exposure is important. The aforementioned challenges are addressed by the disclosed systems, methods and devices. After considering this description one will understand how the features of various implementations are configured to enable various systems, methods and devices to monitor, subject to user consent, information about how and when a particular user is exposed to various forms of media, and provide related content at times that the user may be more responsive to the related content.

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Dongle for TV Location Identification and Advertisement

Insertion

TECHNICAL FIELD

    The disclosed implementations relate generally to systems, methods and devices configured to monitor information about media exposure and provide related content.

BACKGROUND

    People are regularly exposed to advertising throughout the day through various forms of media, including print, television, radio and the Internet. These different forms of media typically carry advertising that is intended to be experienced by a mass audience. Even though mass advertising is effective, advertisers would also like to specifically target the interests of particular users by presenting advertising to those users when they are likely to be receptive to the message. This is challenging because advertisers have thus far not been able to collect detailed information about particular users with respect to how those users access and consume a diverse set of media throughout the day.

    In addition, measuring advertisement exposure is important. In the case of television advertisements, one of the ways to measure exposure is by audio matching at a mobile device (such as a phone) subject to user consent. The device captures the ambient audio around it and this audio is then compared to a database of advertisement audio tracks. This measurement of exposure, however, does not tell the advertiser where the user was exposed to the advertisement (e.g., at home, at a restaurant, or at a bar), which can be important to an advertiser. For example, depending on the advertiser, exposure to an advertisement at a restaurant or bar may be more important (or less important) than exposure to the advertisement at home.

SUMMARY

    The aforementioned challenges are addressed by the disclosed systems, methods and devices. After considering this description one will understand how the features of various implementations are configured to enable various systems, methods and devices to monitor, subject to user consent, information about how and when a particular user is exposed to various forms of media, and provide related content at times that the user may be more responsive to the related content.

    In situations in which the systems discussed here collect personal information about users, or may make use of personal information, the users may be provided with an opportunity to control whether programs or features collect user information (e.g., information about a user's social network, social actions or activities, profession, a user's preferences, or a user's current location), or to control whether and/or how to receive content from the content server that may be more relevant to the user. In addition, certain data may be treated in one or more ways before it is stored or used, so that personally identifiable information is removed. For example, a user's identity may be treated so that no personally identifiable information can be determined for the user, or a user's geographic location may

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