Having problems getting through all of your feeds in your reading list?
Keeping up with the latest news from all the various publications can
sometimes be as difficult as keeping up with your email where "email
bankruptcy" runs rampant. FeedHub, a product of Pittsburgh-based mSpoke,
has launched its personalized feed and recommendation product at the
2007 DEMOfall Conference. I was part of the FeedHub private beta program. FeedHub creates a personalized RSS feed from you
reading list and intelligently displays the most relevant post.
With FeedHub, simply import your feed reading list (RSS feeds in an OPML
format) and FeedHub produces an personalized feed from it. The feed it meant
to be imported into your favorite feed reader. I imported my feed into
myAOL Favorites Feed Reader, where FeedHub injects a widget into the
beginning of each feed item. Built on mSpoke's patent-pending personalization engine, FeedHub leverages a combination active
human inputs and machine learning. FeedHub creates memes from popular
bookmarking services like (Digg and Delicious) to identify article
subject matter by article topic or category. In addition, there are
algorithmic and human-made memes. As a user interacts with their feed
FeedHub is supposed to automatically discover new memes and learn meme
weights based on the items a user interacts with.
In my few week trial of FeedHub it is difficult to tell for sure if FeedHub
is actually saving me any time. However, I am going to continue to use
the service and see if it continues to improve its recommendations. If
it does this could truly be a great service - and could really live up
to its value proposition of cutting through information overload.
