There’s one thing that Nathan doesn’t mention that is the killer: it allows me to upload my OPML file. Memeorandum doesn’t.
Once I did upload my OPML file, the relevance of the engine shot up at an almost infinitely higher level. It was
almost magical to witness. Posts that I have reffered to on my blog this month rank highly (in case you are wondering – it doesn’t know I’m the author of my blog, so the results aren’t skewing the results for this reason.).
I’m going to play some more – what I’m hoping is that it meets the requirements I stated only a week ago:
I subscribe to people whose opinions and views I value, but when there is ‘big news’ (as per yesterday’s Windows Live) or even ‘little news’, I want to do a number of things:
- know who is writing what about a topic
- navigate the discussions taking place (clustering / threading)
- find the smart thinking – valued by others
- define the topic I’m interested in
- filter by ‘my A-list’: by those whose opinion I value (that I’m subscribed to)
So far it appears to meet 1,2, 3, 4, and 5! Compared to the other services I mapped against the above requirements, Tailrank wins as an attention filter.
The magic is in the abillity for me to upload my OPML – it allows the Tailrank algorithm to be put to work on the RSS feeds I’ve been collecting, creating and pruning for over three years – my ever-so-valuable attention file.
Kevin Burton, co-founder of Rojo-Networks is the creator of Tailrank. He calls this class of application a Meme Engine, I like the term, however I think Attention Engine is more accurate – Slashdot, Digg and Memeorandum are about spreading memes – these are Meme Engines. They don’t take into account your interests and who you value. Tailrank seems more like an Attention Engine to me – it promises to bring things to your attention that you want to know about based on your OPML (attention) file. Your data, interests, posts, blogs and people that match your attention profile. Powerful stuff.
What makes it so ‘rich’ is not AJAX. None to be seen in fact. What makes it ‘rich’ are the number of pivots on the data and the views and results that emerge. You can see a ‘recommended’, ‘everyone’, ‘social’ or ‘local’ view and can cross-tab against date, search term and tags. These ‘everyone’ to ‘local’ filters appear to scope the results in and around your attention file – ‘everyone’ allows the inclusion of the network that touches your OPML file feeds on the one extreme, while the ‘local’ view seems to zoom in only on your OPML file at the other extreme. What wonderful idea. There plently of other things to toggle too.
They figured out how Memorandum works and hacked it so that they could appear on the site (thus getting more traffic).
…All existing systems have suffered from this. Back in the good old days Blogdex and Daypop would get hit with spam every once in a while.
That said, TailRank was designed with spam prevention in mind. We don’t have any of this technology currently deployed on the site but in the next week or so I’ll be able to sit down and write the code. This should prevent Tara and Alex’s spam attack within TailRank (sorry guys). “
I won’t even try Kevin 😉