The folks over at Megite (who are doing a memetracker along the lines of Memeorandum, or TailRank) are working on a personizable memetracker. Here they took my OPML file, fed it into their system, and out comes a special edition of Megite using just my reading sources. Compare this to Memeorandum/Tech or TailRank today and you’ll see it’s more Microsoft-centric and more developer-centric than Memeorandum is.
Scobleizer
Rackspace's Startup Liaison Officer
Man Scoble… where have you been. TailRank has been doing this for 1.5 months now
…
In fact:
http://tailrank.com/posts/filter/handle/scobleizer
That’s your filter for the OPML file you gave me…
Kevin
Another point… I’ll blog on this tomorrow…
http://tailrank.com/posts/filter/handle/scobleizer?min_ranking=10
You can change the ranking factor to add more or less relevance.
I need to write a long post on this but I’ve been swamped with real work…
Kevin
Another point… I’ll blog on this tomorrow…
http://tailrank.com/posts/filter/handle/scobleizer?min_ranking=10
You can change the ranking factor to add more or less relevance.
I need to write a long post on this but I’ve been swamped with real work…
Kevin
A “personal” is orthogonal to the definition of a meme. A meme is social; an infectious idea. Here is a definition:
As defined by Richard Dawkins in The Selfish Gene (1976): “a unit of cultural transmission, or a unit of imitation.” “Examples of memes are tunes, ideas, catch-phrases, clothes fashions, ways of making pots or of building arches. Just as genes propagate themselves in the gene pool by leaping from body to body via sperms or eggs, so memes propagate themselves in the meme pool by leaping from brain to brain via a process which, in the broad sense, can be called imitation. …”
http://www.silcom.com/~barnowl/chain-letter/glossary.htm
A “personal” is orthogonal to the definition of a meme. A meme is social; an infectious idea. Here is a definition:
As defined by Richard Dawkins in The Selfish Gene (1976): “a unit of cultural transmission, or a unit of imitation.” “Examples of memes are tunes, ideas, catch-phrases, clothes fashions, ways of making pots or of building arches. Just as genes propagate themselves in the gene pool by leaping from body to body via sperms or eggs, so memes propagate themselves in the meme pool by leaping from brain to brain via a process which, in the broad sense, can be called imitation. …”
http://www.silcom.com/~barnowl/chain-letter/glossary.htm
[...] Beginning of the Attention Engine race Wow, I missed this the first time around… Megite is going letting me do what I’ve been asking Memeorandum (or enyone else that will listen) to let me do for ages - to pivot off my own OPML file. The feature isn’t switched on for everyone yet, but I’ve pinged the Megite developer, Mathew Chen, so hope to hear from him soon. (Update 14 Feb: Matt has got back to me – it’s live! See. Thanks Matt! Robert Scoble has one too. ) Richard MacManus has more info on this. However, it turns out Findory can let me import my OPML too. Today. So I did. This is what I saw after: The main pane provides ‘Top Stories’ based on my OPML file (I uploaded 642 feeds – the other items in my OPML aren’t RSS feeds, they are links to stuff). On the left is a selection of the blogs I’m subscribed to. The upload process is clunky – your need to copy and paste the OPML file source rather then just pointing to an url, but hey, I’m not complaining. I don’t know how the ‘Top Stories’ are decided, but the end result is pretty good. Practically every item is of interest to me. Not suprising really – it’s pivoting off my OPML / Attention data. It’s funny - I’ve been thinking about this a lot recently, so to see services actually switching on some of this stuff is very exciting. But now I’ve actually seen it, I’m asking myself more questions…. So, I ask myself - are the ’Top Stories’ just randomly selected items from the RSS feeds from my OPML file? If so, am I getting a more ’relevant’ experience than if I go to a news tracking site (or ‘meme tracker’) that doesn’t take into account my interests? If so, is that ‘real value’? I’d say maybe not. Randomizing my feedreading experience is not what this is about… What’s the algorithm at work here? Is there one beyond randomization? What data other than my own OPML file is Findory using to determine ‘relevancy’ to me? How could it be improved? I’ve got to play some more… Now I’ve seen it live, I’m more convinced than ever that the ability to render a personalized experience based on Attention data is where its at. And I’m not talking about just clickstreams. Your OPML file (specifically your list of RSS subcriptions) is one example of this Attention data set. It says alot about you: the topics your interested in and the people you listen to, and much more. There is plenty more Attention data that can be leveraged though. My tags, my wishlist, the books I own, etc. We’re just at the beginning of the Attention Engine race. It’s going to be great. – Related: My Attention writings – Tags: OPML, RSS, Attention Filed Under: Web, RSS, Web 2.0, OPML, Attention [...]
[...] In Scoble’s comments Gabe Rivera (developer of memeorandum is also fairly positive about what is possible. Richard MacManus links the stories together, but his title is Personalized Clustering: It’s too hard, say developers, quoting from Nik Cubrilovic of OmniDrive : …generating a personal view of the web for each and every person is computationally expensive and thus does not scale, at all. [...]
I just got my personalized page … I also really like the idea. There is an excellent thread running through here about the echo-chamber effect. Considering that we can recognize that this effect is real, and can be exacerbated by Memorandum, Digg, and Megite … when one partial solution is using more topic searches from PubSub, Technorati, etc. Not great, but certainly a way to get more inputs into your info stream. Or tributaries to your river of feeds.
I just got my personalized page … I also really like the idea. There is an excellent thread running through here about the echo-chamber effect. Considering that we can recognize that this effect is real, and can be exacerbated by Memorandum, Digg, and Megite … when one partial solution is using more topic searches from PubSub, Technorati, etc. Not great, but certainly a way to get more inputs into your info stream. Or tributaries to your river of feeds.
BTW … as time has gone by the results are getting really interesting.
Alternative to Memorandum … don’t know yet. Certainly interesting though.
BTW … as time has gone by the results are getting really interesting.
Alternative to Memorandum … don’t know yet. Certainly interesting though.
is it different from blogroll?
is it different from blogroll?
Grazing Lists
James Corbett, the EirePreneur has some excellent posts of late about Grazing Lists.
I posted about this a while back but I called them Hot Topic lists…I guess they don’t have to be topic based, but the word “hot” was the majo…
[...] Relevancy can be based on your reading behaviour…what you click on, see Findory Favourites [...]
[...] – del.icio.us – Furl BOOKMARK THIS POST: del.icio.us – Furl – Simpy – Watchlist RELATED: Furl – Waypath «« Previous: RSS reading by relevance: OPMLmemetracking [...]
Comment 10 is gold, its similar to how google works too. Only the bigger pages get spidered/indexed quickly, but you need to be indexed to get big :S
Comment 10 is gold, its similar to how google works too. Only the bigger pages get spidered/indexed quickly, but you need to be indexed to get big :S