The next generation RSS reader concept

The problem

Today, almost all websites have some sort of an RSS feed to keep you updated of their latest news.
On the other hand, users may be overloaded by all sorts of irrelevant information that arise from this trend.

The other part of the problem would be a magazine website with multiple areas of interest.
Such a magazine would report hardware as well as software news, Apple as well as Android information, etc.

But what if we are only interested in part of the information provided by RSS?

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The solution

Some of the newest RSS readers started to address the issue by providing filtering options that can be used to filter out words, authors, categories or tags that do not interest you.

Their biggest disadvantage is their learning curve. You need to mark each and every part of each post for tags, authors, categories and words that makes that single post irrelevant to you.

jReader tries to address this problem by:

• employing an intelligent algorithms that automatically scans tags, categories, authors and titles of each post for repeating patterns
• allowing users to mark a full posting as irrelevant (this is where the algorithm kicks in)
• at the same time, allowing users to mark parts of the post that are always irrelevant (like a category, author or a tag)

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The technology

jReader's ideology comes from the simple fact that everything has already been invented.
It would be a waste of time trying to reinvent the wheel, when we have these technologies coming to help:

• Google Feed API, which can read just about any RSS data and generate a valid output from them. Furthermore - when possible, Google serves their cached RSS data via a CDN network, making it a lightning fast delivery solution for any device in the world.
• Yahoo! Pipes, serving as a backup solution in cases when:
  • Google Feed API does not recognize the feed in question
  • user tries to add a website URL instead of RSS feed address
  • Google doesn't like the device requesting RSS feed :P
• PHP SimpleXML, serving as a backup of both services mentioned above