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Adapting Web Page Content Based upon Cumulative User Sentiment

IP.com Disclosure Number: IPCOM000247893D
Publication Date: 2016-Oct-10
Document File: 2 page(s) / 47K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system to autonomically change content on a website based on a user's navigation history and identified sentiment. Updating the content to reflect the user’s state increases the web page’s effectiveness.

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Adapting Web Page Content Based upon Cumulative User Sentiment

A digital asset, like a web page, is more successful if its readers resonate with the content. Part of this digital experience is the emotional intelligence that comes with the content for that web page to meet its purpose. Often, today's content is developed under the assumption that people have certain homogeneity when it comes to emotions and how those emotions change with each part of the digital content.

This brings an interesting challenge. Person A may feel happy by subtle humorous content while others feel happy by some extreme level of humor; the scale varies.

A successful website must have content tailored to suit the mood of the users in order

to maximize the users' receptivity. However, a user's mood varies considerably from day to day (even within a day) and individual users have significantly different moods. When the content on websites is not optimized relative to the user's mood, then the user might overlook some content when navigating the page.

If the author wants to set the stage for the reader to traverse an emotional journey through the content and review all of the intended content, then a dynamic and agile feedback per person is needed for the website.

The novel contribution is a system to autonomically change content on a website based on a user's navigation history and identified sentiment. The system employs some sentiment analytics as enabling art.

The core idea is a system that monitors user's mood by means of the navigation history and the cumulative user sentiment score. For example, a navigation sequence of

webpage -> webpage -> webpage -> webpage, results in a 78% unhappy rating. The content displayed can be cognizant of that. The system can then alter the content of a

web page to match the detected mood.

The system also monitors the environment to detect the sentiment for this, taken from the aggregated sentiment that has been detected to produce a cumulative sentiment impact.

In another embodiment, the system adjusts the web page content to achieve the target emotional behavior from reading th...