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System for Content Change based on Analysis of End Consumer's Feeds

IP.com Disclosure Number: IPCOM000243508D
Publication Date: 2015-Sep-28
Document File: 4 page(s) / 84K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that alerts writers/publishers when posted content is aggregated or searched in a certain way, and it is other than the writer/publisher might have intended. The novel system uses a cognitive engine to review the content and the workings of end users’ input feeds and then suggests proactive improvements before and after the content is published, so that the content quickly reaches the intended audiences.

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System for Content Change based on Analysis of End Consumer's Feeds

A lot of micro blogging content suffers from a lack of categorization. As an example, a search for competitive differentiation between two different processors may present a heavily technical architectural level comparison document, when the searcher's

intention was to find a high-level business case document. As such, users are unsure

whether content (either posted or read) needs to be associated with a certain topic versus another. Often, this leads to the creation of duplicate information as a user may create a new document, when it already existed under a different name. This ultimately creates a problem where content, and the associated poster's effort in compiling the content, is simply lost as the correct audience is unable to find it due to mis- categorization.

A system is needed to solve this problem and ensure that knowledge sharing is made

seamless.

The novel contribution is a system that alerts bloggers when posted content is being aggregated or searched in a certain way. The novel system uses a cognitive engine to review the content and the workings of end users' input feeds and then suggests proactive improvements before and after the content is published. It creates a feedback system based on the methods in which users find the publisher's content and provides recommended enhancements to the publisher to better target the desired audience. For example, the system sends a notification to Author1 stating, "A

significant number of users use searches or aggregators that wrongly associate or mis-categorize the content. We recommend that you do not use word1 or that you include word2".

The core idea is to employ a system that monitors the likely categorization/consumption of content by end users. It alerts the user when an inappropriate target audience is accessing/consuming the content. The system then provides feedback to the publisher, relating the best tags/heading/content to use in order to target the key audience.

Thus, if a User posts content on "Brand Z Networking", the blog may be searched and found by a mass audience including technical engineers, sellers, and architects. The content may have only been intended to be relative to architects, as the presentation is a high-level architectural view of the Brand Z network. The system can proactively prompt the user to use wording better suited to the target audience (i.e. "Brand Z Networking Overview"). This is accomplished by analyzing the output of end users' filters and aggregators (for both intended and unintended users).

To ascertain all the content that is being consumed by end users, the system uses information from:


• A company/telco has deep packet ability and can see the web consumption and thus ascertains the search words directly for that user or IP Address


• Internet or intranet connections identify when the user is logged in, and thus has a history of the content consumed as well a...