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Method and System for Determining Rates for Advertising based on Popularity of Head Content

IP.com Disclosure Number: IPCOM000213601D
Publication Date: 2011-Dec-22
Document File: 3 page(s) / 356K

Publishing Venue

The IP.com Prior Art Database

Related People

Vinayak Subhas Nijamkar: INVENTOR [+2]

Abstract

A method and system for determining rates for advertising based on popularity of head content is disclosed.

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Method and System for Determining Rates for Advertising based on Popularity of Head Content

Abstract

A method and system for determining rates for advertising based on popularity of head content is disclosed.

Description

Typically, in an online advertisements market, advertisements are displayed for fixed rates without any consideration for the popularity of the head content.  Disclosed is a method and system for determining rates for advertising based on popularity of the head content.

The method and system disclosed herein specifies one or more parameters for identifying the popularity of head content.  After defining the one or more parameters, the most popular head content is selected and subsequent steps and processes are defined to increase the overall revenue generated from advertisements.  Moreover, pricing for the advertisements may be dynamically adjusted based on any change that may occur to the popularity of the head content.

Generally, popularity of the head content can be determined using various methodologies.  Further, factors such as user generated content (UGC) or actions that are common or shared by various users play an important part in such methodologies.  Examples of user generated content and actions performed by users are illustrated in fig 1.  As illustrated in fig. 1, UGC typically includes comments, replies to comments and ratings awarded to the comments.

UGC, in addition to various means for engaging users, generates updates across social networks as well as referral traffic.  A user may share a link corresponding to head content associated with the user using the social graph of the user such as blogs, microblogs, social networks etc. thereby generating a huge amount of referral traffic.  Further, the user may also share the head content through traditional sharing mechanisms such as mails which are sent to individual users.

Figure 1

Based on the determined absolute popularity of the head content, differential charge rat...