Browse Prior Art Database

Cognitive Methodology and Mechanism/Application to Score and Rank Blog Content Based on Flexible End User Specifications

IP.com Disclosure Number: IPCOM000249060D
Publication Date: 2017-Jan-31
Document File: 5 page(s) / 55K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a methodology and mechanism/application that enable the user to read, continue, or pass over a particular blog depending on an overall blog score/rank as well as individual aspect scores based on the user's specifications. The core idea is to provide the individual mobile and/or desktop user a methodology and associated mechanism/app with a wide range of specifications through which to score the entire blog or some of the contents, as well as rank the blog in relation to other blogs previously scored by the user.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 26% of the total text.

1

Cognitive Methodology and Mechanism/Application to Score and Rank Blog Content Based on Flexible End User Specifications

Blogs are practically unlimited in number and content, with too much total information for any person to consume, comprehend, and retain. In addition, some blogs are misleading (e.g., with content and purposes) not only the casual reader but also the astute reader. Because content that is of value/interest to one end user may not be of value/interest to another end user, a user needs an easy and flexible method for setting customizable criteria for blog content evaluation.

Many aspects to blog content can help an individual determine the personal value of the blog; however, manually choosing which blogs to read with which to participate is a selective process that can require a good amount of trial and error and is not an optimal use of the end user's time and other resources. Further, a user might benefit from understanding the blogging community relationships and any levels of collaboration between the blog author/owner and bloggers, as well between the bloggers themselves.

A method and system are needed to score and rank blog contents based on flexible individual end user specifications. Users need a means of quickly and efficiently scanning and filtering the blog contents to determine whether the blog is of any interest/value. In addition, a system is needed that can assign some relative and/or absolute score to the blog that is meaningful to the individual end user. Building on blog scoring capabilities, there must also be a means by which to rank blogs of interest/value.

The novel contribution is a methodology and mechanism/application (app) that enable the user to read, continue, or pass over a particular blog depending on an overall blog score/rank as well as individual aspect scores based on the individual user's specifications. The core idea is to provide the individual mobile and/or desktop user a methodology and associated mechanism/app with a wide range of specifications through which to score the entire blog or some of the contents, as well as rank the blog in relation to other blogs previously scored by the user. These individual end user blog content evaluation specifications are flexible; the reader can adjust the specifications in real time. The user can also save specifications for historical reference/use, which supports the capability to change blog content criteria at will. The user does not need to commit to any single or number of blog content evaluation criteria standards.

Key blog characteristics for analysis, scoring, and ranking include blog content, participation levels, contributions of bloggers, and blogger relationships. The solution provides the user with blog content scoring options as well as a means to set ranking criteria to produce the blog scores. The user can save the blog ranking criteria and re-use it at any time.

This system employs three cognitive computing tiers. Each tier util...