Persai, a personalized online news aggregator

persailogo013008.pngPersai is a site that automatically discovers articles you might like from around the web. Imagine it being the opposite of social news sites like Digg or Reddit, where users submit and vote on their favorite stories. Instead, it’s a personalized news aggregator, sort of like automated news aggregator Techmeme, but just for your interests.

With Persai, you sign up (it’s in private beta) and create a set of keywords that you’d like to discover articles about. Let’s say I want to track all the breaking news about Facebook and Myspace. I type in, “facebook, myspace, bebo” into Persai’s interest creation form and give the interest a name, such as “social networks.”

Then Persai uses machine learning, where it trains software algorithms to find articles on the web related to the keywords in your interest. It identifies and extracts the unique content from each web page it finds, matching each page up against the keywords to find what’s most relevant. (You can read more about machine learning here, if you’re interested.)

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If you click on an article to read, Persai learns that you like that type of article. If you click on the “reject” button below each entry, that entry disappears and Persai learns that you don’t like that type of article. It doesn’t rely on user votes, tag clouds, analysis of metadata about an article, or anything else.

You can also get RSS feeds of each “interest” you create, as well as an OPML file containing every feed for every interest. I’ll be adding Persai feeds to my feed reader, to see how it stacks up against the other tools I use to find news on the web. I’ll be using it in place of Google Alerts, which emails or RSS feed notifications that you can sign up to have Google send you, linking to newly-published articles that mention keywords like “Facebook” or “Myspace”.

Emeryville, Calif.-based Persai also stresses that it’s not just a tool to help tech bloggers find hot new tech stories. It says it is developing tools for businesses and publishers, but won’t go into more detail.

The three-person company has been living off $35,000 in funding over the past eight months. It has also gained a certain amount of notoriety, as the publishers of Web 2.0 hate blog Uncov — which they’ve recently stopped doing in order to focus completely on Persai.

Meanwhile, at least one executive of a successful web company tells me he would like to hire the team for their know-how, “once Persai fails.”

If you want to try out Persai out, email kyle@persai.com and include the word “VentureBeat” in your subject line.

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About the Author, Eric Eldon

Eric currently covers digital media technology and business news, especially what's happening on social networks and their platforms. He also writes and edits stories about venture capital, and lots of other stuff, too. He started at VentureBeat in the spring of 2007, half a year or so after Matt Marshall left his reporting job at the San Jose Mercury News to found the site. Eric previously cofounded a startup called Writewith, that was building editorial software for newspapers and other groups of writers. The startup didn't work out, but he learned a lot.

  • Antonia Russ
    That's just like the new service Mindity launced last months (ok, they are a desktop app, but with very similar features).
    http://www.mindity.com/WhatIs.aspx
  • Russ
    Actually its nothing like Mindity. Mindity is based on popularity. It suggests new feeds by grabbing them from feed lists of other's from who you may have a feed in common. Persai is based solely on your interests. There is absolutely no social aspect to it at all. After all why do I have to like what everyone else likes? Mindity also only looks at individual feeds. Persai aggregates each of your interests into their own feeds. Why should I have to have two feeds to read political articles from both cnn and msnbc? I think persai makes a lot of sense.
  • Persaus
    Fail. Big time.
  • in before persai!
  • edhardy622
    British law student sues Abercrombie-Fitch for disability discrimination.
    http://www.abercrombieshop.us