Joshua Porter wrote a great post on circles of relationship a few days ago. It has generated many great responses and a new post that summarize all these contributions. Since it’s a subject we have been working on with my partner, i would like to share a very concrete approach of it : U.[lik]
First let’s have a look at the circles evolution from Ben Schneiderman (via Joshua) to People like us from Alex Mather:
The Schneiderman representation is clearly a pure social approach.
Alex Mather one is a pure Social Network approach mainly focus on the 18-30 years old group. According to him there are two main points that organize the circles:
Self, Friends, and “Those Like Us” are in a protected area.
Friends and even “Those Like Us” are more important than Family!!!
–> I agree at 100% !
The next step is from Sarah Cooper (Visual designer at yahoo) who introduces the idea of Collaborative Micro-Filtering. She has designed a quick demo of what it should look like. She also tries to build the specs for such a service.
The whole idea is to be able to get the right recommendation by using the right people for each different subject. Her mom & danna for clothing & Joel, jim and rashid for movies. –> Again I agree @ 100%.
That’s exactly these kinds of ideas that we have been working on over the last 2 years.
Implicite recommendation have a lot of advantages … mainly it’s effortless ! But it alsa have many problems. The list is quite long but it could be sum up with "making mistakes". That’s something user would not accept especially if it’s a mistake that a five year old boy wouldn’t have made. It’s a bit like, in the old days, altavista not finding its own website when asked.
This guy is mad … but he has great slides and examples. "Carve nature at its joints. [...] butchering an animal is a brilliant metaphore [...] Good butcher knows where the natural places to divide the world up are."
Thanks Stan. I’ll never have thought that I would end up in a blogroll with Avc & Chris let alone being just below Apophenia & Fractal of changes (hope they will join lijit quickly).
I am very happy we could work together on People Inside (I think it’s even better than People ready ;-))
Chris Anderson from The long tail has published it’s five most disruptive business books … describe as "This is sort of a Hall of Fame selection". Here is the list with links to U-lik’s clubs :
This is the video U-lik found me when i entered a bunch of them in the database (I share K.Dick & Borges with this guy & I am very interested by this book). I will probably do the same for me as soon as I can.
We haven’t been selected for the NextWeb Awards … Dam! But here is my selection, it funny because it actually say something about your web vision (like Patrick de Laive’s one). It was difficult and I probably would have needed one or two more spaces … but it’s fun.
On my way to Phil’s Apero Wireless #2 where i was exploring paths to put our netvibes widget on mobile, I stopped in front of an ad campaign ….. I stopped and took a few seconds to think again about the great meeting I had this morning … I stopped because Fred talked to me about a tag (another assonance with the folksonomy world with a french touch in it) he used to see near to his home in london. Fred Graffiti is from Banksy, my pictures are from here.
–> Il y a des jours (et des posts) qui filent la banane !
I’ve reading Paul Lamere’s blog, Duke Listens!, for the last couple of months. It’s the smartest blog for who is interested by recommendation ((It used to be Greg Linden (who still has some great insights) but since he has retired from hard core development of findory … he has slowed down)).
Lately, it’s one of the blog from which I open the largest number of pages from my reader (I just screen articles in it and open the page so i can bookmark it - painful process!-). Paul Lamere is a researcher @ Sun. He works on the next generation of Intelligent Music Machine (And I am happy I don’t fight in the same league as him). His blog is full of insights, reviews and academic news.
Today a great piece about ilike. Ilike is a plug-in for music recommendation (Paul call them remoras !!). I don’t like ilike (they have a name too close from yours ;-)) so i did not gave them a lot of my time. Paul did. And here are his findings :
Last year I tried out iLike to see how well it worked. I didn’t like their ’similar artists’ recommendations too much. I figured it was a cold-start problem. Since they were a new site, they didn’t have enough data to make good recommendations. I tried iLike again this morning to see how well they improved after having 6 months of data. I was surprised to learn that I was getting the exact same recommendations as I got back in October. It is as if they have not updated their similarity data since they have launched. Some of these recommendations are horrendous. Read the rest of the story
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