Beyond Content Aggregation – Filtering Services, Popular, & Relevant Content
Mar 16 2009 
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I’m currently listening to Louis Gray, Marshall Kirkpatrick, Gabe Rivera of Techmeme, Melanie Baker (AideRSS), Micah Baldwin (Lijit). They’re all a part of the Beyond Content Aggregation – Finding the Best Content Panel. One of the key things I hope to hear them speak a little more on is filtering and content aggregation. After all, aggregation all of the content available usually results in information overload. In doing so, everyone has various filtering techniques.
Finding Personal Versus Popular Content
While Louis and Robert Scoble may be human filters, services like PostRank and AideRSS are all about helping you get the best content within all the “noise of information”. However, my problem with said services is that their filtering mechanisms are based on popularity and not necessarily the best personal content.
For personal content aggregation, the aforementioned tools fail me. I don’t want to know what’s the most popular, Techmeme does that for me already. I want to know what’s relevant to me. We need more “relevant filtering services”. Popularity is played out. It’s old and quite frankly, it’s annoying to some extent. Screw popularity. I’ll take relevancy any day!
Q&A
My question to you is: How are you finding the best relevant content? What tools are you using? What manual techniques do you integrate into your search for finding the best content that’s also relevant to you?
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You know Corvida, there just may be no electronic replacement for our ability to gleen what appeals to our hearts and minds. You nailed it. What is “popular” isn't necessarily what's best and it certainly may not be what you consider the most profound. And what is so negligible (in terms of being ranked by users) that it's at the bottom of the pile, may be a pearl hiding in a haystack that will never see the light of day.
I'm trying to figure this out for myself for business reasons (as well as personal). But how do you train a computer to “think” the way you do and to understand what moves your soul or makes you laugh or makes you “think”. Ugh. I'm all for the singularity but will this issue ever be solved (or is it even a problem to begin with — may that is the limitations to what we can expect from these electronic services).
Great stuff.
FeedScrub does a not bad job on RSS feeds, and I'd love to see this kind of “learning” service extended to Twitter, FriendFeed, etc.
Corvida, if we are talking about using search egenes, the only way is to type your query in max spesific.
Corvida, if we are talking about using search egenes, the only way is to type your query in max spesific.
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