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Method and System for Determining Quality of an Advertisement

IP.com Disclosure Number: IPCOM000198946D
Publication Date: 2010-Aug-18
Document File: 2 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

Related People

Allie K Watfa: INVENTOR [+3]

Abstract

A method and system is disclosed for determining quality of an Advertisement (Ad) with respect to one or more parameters such as acceptance of the ad, price of the ad, duration of display for the ad, and location of the ad.

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Method and System for Determining Quality of an Advertisement

Abstract

A method and system is disclosed for determining quality of an Advertisement (Ad) with respect to one or more parameters such as acceptance of the ad, price of the ad, duration of display for the ad, and location of the ad.

Description

Disclosed is a method and system for determining quality of an ad by calculating a quality score with respect to one or more parameters such as acceptance of the ad, price of the ad, duration of the ad, and location of the ad.  Using the quality score, worthiness of the ad is predicted.  Also, a clickthrough rate associated with the ad may be predicated.  Accordingly, an informed decision is taken to display the ad, using the quality score for the ad.

In order to calculate the quality score for the ad, multiple factors are used.  One of the multiple factors may be an average clickthrough rate associated with similar ads.  For example, average clickthrough rate of all pizza ads is used to predict clickthrough rate for a new ‘Pizza Hut’ ad.

Additionally, current news events and local events may also be used to predict the clickthrough rate for the ad.  If the ad is related to the current news events and the local events, there is high probability that more users may be interested in the ad, therefore the clickthrough rate of the ad may increase.  Consider an example where a quality score is being calculated for an ad for a new ‘Lady Gaga CD’.  Further, Lady Gaga may be scheduled to tour certain cities for hosting certain events.  In such scenario, users located in these and nearby cities may be more interested in the ad and therefore clickthrough rate of the ad may be predicated on higher side.

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