The Web Next Revolution

March 7, 2007 - Get free updates of new posts here

I have a new theory about the evolution of the web. I would love your input/feedback.

Web 1.0



This was a 1 way street. The website is a static page that you eat. They publish, you consume.

Web 2.0

two way street

Now the street can travel in both directions. The website is created, the user inputs the content & the business gets sold for billions. Yay, everyone is happy. I get a free place to store my stuff, people have a business they can make money on and the world move forwards.

Web Next.

web next revolution

The web is fed to you. This is similar to a 3 way triangle. A web Ménage à trois.

1- I give the website data.
2- My friends give the website data
3- The website knows what to give me.

New Examples:
– Instead of reading blog entries from Bloglines I actually just get the real posts I need to be reading based on my past reads, friends reads and popular reads for the day.
– Social networks stop taking my data and just displaying it. LinkedIn goes the Next level and gives me suggestions on people I need to be working with and possible ideas to work with them on.
Amazon does the work for me and sends me the next book I should be reading based on my $10 monthly budget.


If you like this idea please share it with a few friends, criticize it on your own blog or stay lazy and subscribe to my RSS feed;)

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19 responses to “The Web Next Revolution

  1. Charles Hudson Reply

    I think you are on to something, especially with your last point. The general class of problem you’re talking about is how you do a good job of combining collaborative filtering, personalization, and push. To make a system like that work, users have to trust that the system is smart enough to do a good job of predicting what I will actually want to consume, who I would actually want to meet, or what I would want to read. The Junglee guys got the foundations of this right with Amazon back in the day but getting to the point where I trust Amazon to send me a book without having a human in the loop is a ways off unless Amazon gives me a “money back guarantee” for any book they send that I hate. Netflix is also clearly struggling with how to get better at personalized predictions.

    Great seeing you for dinner last night. Keep up the good posts.

  2. DK Reply

    For the final step to work, individuals would have to relinguish control. Control = power (which even the best of us aren’t that good at letting go of).

    The technology and coding algorithms exists (or at least can be developed easily), not sure the desire to make that next step is though.

    Hold the rock, I’m heading back under…

    DK

  3. Will Kern Reply

    Noah,
    Totally like the idea, but eliminating the human interaction all together is a bit risky if there is no guarantee. So to Charles point about the money back guarantee, instead of offering the money back, because how could they combat people actually liking the book, but just want to game the system and say they did not like it so they could get their money back. Instead, facilitate an exchange community where you could list the books that you got from Amazon that you want to trade and get points for them that you could then use to get other books that you REALLY are interested in. This is a win win for everyone.

    Will

  4. Marshall Middle Reply

    Interesting idea, but I don’t think people can be boiled down to a few complex mathematical equations. Amazon does do a great job with ‘recommending’ things based on past purchases. Maybe broader categories for the mood you’re in – happy, sad, depressed. I’m interested to see what companies can come up with based on a few key points of information. Myspace and Facebook are vast store-houses of people’s personal likes and dislikes, not to mention google.

  5. Joe Budde Reply

    Noah,

    Teradata does this using advanced database analytics. Perhaps you can buy a teradata system and overlay a website to mine the data from the website that the system develops to create this 3-D web that you speak of.

    http://www.teradata.com

    Nice work on the running.

    -Joe

  6. AdamD Reply

    Well stated, Noah. Truthfully, the Web hasn’t really changed at all, but the people who make it have. This has always been about being able to put something in and take something out. What we’re seeing now are the tools to make it easy for everyone and the ability to connect the many pieces logically.

  7. Noah Mittman Reply

    I’ve been stumping hard that Web 3.0 is entirely about piping services together, but in ways that allow people to do so effortlessly and without engineering knowledge.

    Right now Web 2.0 is two-way. I give Google Calendar data, and it gives me back a Month-View screen. But to take it beyond their domain, I need to be an extremely advanced user. I need to know how to remix RSS, use JSON, etc. I think the idea of the cycle in the graphic is right, since 3.0 is multi-directional: I feed site A info, which feeds into site B. I feed site B new info, which feeds into site C. I feed site C info and it feeds back into site A. All my data is mixed and reused equally and they affect each other organically.

    We’re starting to see some low-scale versions of this now: Pipes as feed remixer. Jaiku.com as a lifestream. Flock as a multi-service tool. OpenID as single account management. But Web 3.0 is when they all auto-magically mesh into a single activity that I own and travels with me across multiple sites.

  8. Noah Kagan Reply

    Great comments and feedback. I think the system can initially be stupid. I know that is weird to say but assume that it is. Users decisions and actions based on the sites predictions help fuel the system and only make it stronger…

  9. Andy Reply

    Noah, I saw the comment you left for Brian at Copyblogger today regarding this post…

    I’m sure he would come up with something much better, but I’d like to propose a new headline for you:

    “When the Web Knows What You Want”

    or, better yet:

    “When the Web Knows How You Like It”

    I would also like to offer your readers the same challenge: to remix this post’s headline.

    Why? Mostly because I’d like to see where Sri goes with your ménage à trois analogy.

  10. SusanJones (SixGunSusie) Reply

    I love it! Build it and I will be there!
    I think if you had a bunch of like-minded people, you would end up producing like minded info for consumption, that might be a downfall?
    i.e., I’m in my 40’s, but, I don’t subscribe so much to where a majority of 40 somethings I know do.
    You get?
    and..when are WE going for dinner?!

  11. Damon Billian Reply

    Hmmmm….I personally like searching for nuggets of information over having them fed to me….makes me feel like I am doing some work…

    If companies do go that deep, they will have to be sure to also give a user individual power over preferences, notifications via email/sms & have an totally awesome privacy policy.

    I think Amazon does a fine job of making recommendations on past purchase history.

  12. Dennis Reply

    wikis – collaborative knowledge/information. I think that’s the future.

    rather than consuming information, users should be able to share their opinion. I agree that as the web becomes clouded with more media (blogs, videos, etc..), there will be a need for personalization to meet a user’s specific wants/needs.

    But to fully evolve, that same user should be able to contribute to their media.

  13. Brian C Reply

    Love it. Classic example of why Noah’s blog is such a great read. Striking at the heart of the matter.

    I’m glad that after how many years of the Internet being around that we’re finally starting to get it – no one wants to listen to someone talk about themselves all day, nor do we want to be stuck watching the broadcast television model crammed into a cpu screen for the next 30 years. People evolve, the Net evolves, and hopefully some day most things will finally work.

  14. dave mcclure Reply

    nice summary… sounds right on target to me :)

    maybe in addition to me & my friends, the web also adds “secret sauce” by identifying interesting data & certain experts to add more relevance as well:

    1) i tell the web what i’m interested in / what i like
    2) me & my friends tell the web how we’re connected, and in what context(s) our relationships are relevant
    3) the web identifies skilled experts / useful services / data & algorithms for those relevant contexts
    4) the web connects me with all of the above and tells me where to pickup my laundry, get a date, and have my shoes shined.

    sweet :)

  15. Pingback: Headline Remix Madness – Part One | Copyblogger

  16. Tim Wintle Reply

    I like your analogy, but I feel that we are probably going to head back towards a portal based system to be able to get this level of artificial intelligence. It is the natural progression of customised search, as they are the only people who will have enough semantics about you to know how to predict your behaviour.

  17. Piaras McCorry Reply

    Bonjour,

    Web On!! I love the idea of a system making suggestions based on my past interests and search history. However, instead of having final veto such things as sending books following my relevant interests and making restaurant reservations based on calender and food preferances, I prefer the idea of a system making relevant suggestions that I then either accept or reject.

    Hell, if I can utilize the web as a filter to give me the nuggets of information that best suit my needs and wants without mining through a mountain of irrelevancy, then sign me up!!

    I feel some sympathy for iGoogle, with its personalised content. It is so structured and static when it should be spinning me in new and exciting search directions.

  18. Noah Kagan Reply

    Piaras,

    Great input. I think the one thing you are saying which is key is for the system to be able to take your input/suggestions and learn from them. That would make it killer.