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Speech Recognition Based Targeted Advertising

IP.com Disclosure Number: IPCOM000236285D
Publication Date: 2014-Apr-17
Document File: 2 page(s) / 24K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system to incorporate the capabilities of speech recognition software with mobile devices to provide targeted advertising opportunities.

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Speech Recognition Based Targeted Advertising

As mobile devices such as smart phones and tablets become increasingly ubiquitous, the devices offer opportunities for targeted advertising. Some advertisers take advantage of web-based approaches such as re-marketing after capturing users' purchasing data.

A method and system is herein disclosed to utilize the components of mobile devices to offer a new avenue for targeted advertising though speech recognition.

Mobile device hardware typically includes a microphone and a powerful central processing unit (CPU) and large amount of random access memory (RAM), which allows the use of real time speech recognition software on the device. These devices are also nearly continually connected to the Internet.

With the disclosed system, while the device is not otherwise engaged, it uses speech recognition to listen for the user speak key words that might be targeted in advertisements, or even phrases such as "… would like to learn horseback riding." When the system identifies the language and detects the interest, it displays targeted advertisements or directs email marketing (e.g., coupons) to the consumer.

The disclosed system provides a new source of advertising keywords that can be used to direct advertisements to interested recipients. The system also provides the advantage of speed, as an advertiser can quickly present options to a potential consumer, before that consumer has even taken the time to perform an Internet search. In addition, the system may provide advertisers the opportunity to reinforce a message or idea and turn it into a sale. For example, a consumer may have only an idle interest in a topic (e.g., "I wish I knew how to ride horses"). If the advertiser can present an ad for horseback riding lessons soon after the user expresses this thought, then the consumers might be more inclined to make a purchase.

Speech recognition software may be more accurate and less CPU-intensive when it is listening to match a list of keywords or key phrases. It is practical for the software to be listening for only a set of keywords or phrases most of the time, as opposed to dictation analysis that does not know ahead of time what the user is going to say and is correspondingly less accur...