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Method and System for Serving Contextually Relevant Advertisements

IP.com Disclosure Number: IPCOM000240219D
Publication Date: 2015-Jan-14
Document File: 3 page(s) / 256K

Publishing Venue

The IP.com Prior Art Database

Related People

Pradhan Pattanayak: INVENTOR [+3]

Abstract

A method and system is disclosed for serving one or more relevant advertisements (ads) to a user based on context and sentiment analysis of content on a page viewed by the user. The method and system automatically figures out the context and sentiment of the context that the page refers to. The method and system, then, utilizes the sentiment aware context to serve the one or more relevant ads.

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Method and System for Serving Contextually Relevant Advertisements

Abstract

A method and system is disclosed for serving one or more relevant advertisements (ads) to a user based on context and sentiment analysis of content on a page viewed by the user.  The method and system automatically figures out the context and sentiment of the context that the page refers to.  The method and system, then, utilizes the sentiment aware context to serve the one or more relevant ads.

Description

Disclosed is a method and system for identifying one or more relevant advertisements (ads) to a user based on context and sentiment analysis of content on a page viewed by the user.  The method and system identifies the one or more relevant ads by comparing the content of the page and one or more ads in order to determine the one or more relevant ads.

The method and system identifies the sentiment and content of the page in order to understand the appropriateness of one or more ads.

In an implementation, the method and system serves the one or more relevant ads when the content of the page has a positive sentiment.  In another implementation, the method and system serves the one or more relevant ads when one or more targeted keywords have a negative comment.  For example, the method and system serves an insurance ad when the page describes an article about vehicle damage.  In yet another implementation, the method and system avoids showing the one or more relevant ads under circumstances such as, but not limited to, when the content of the page describes a competitor with a positive sentiment, when the content on the page has a negative sentiment and when the content on the page contains hard, sad or tragic news.  For example, the method and system can avoid serving an ad from an automobile company when the user is reading a new article about the automobile company’s car catching fire.  On the other hand if the page is about automobiles, the method and system can serve one or more ads related to auto parts or if the user is looking at a page related to car comparison , the method and system can server one or more ads from one or more car manufacturers.

The method and system contextually serves the one or more relevant ads based on at least one of inferring the context and sentiment of the page the user is viewing and inferring the content and category of the booking.  The context of a page is derived from the page content. The content can include, but is not limited to, a keyword, a set of keywords and a concept.  For example, the context of an automobile article discussing recent information about a car can be described with keywords such as, but not limited to, car_model_name, manufacturer name, and concept such as, but not limited to, automobile->sedan.  In addition to identifying the context, the method and system also identifies the sentiment of the page.  For example, if the article was praising the car, the sentiment with respect to the car is...