DISQUS

jherskowitz · 1 year ago

Great post. I agree that lifestreaming and financial management sites have a lot in common and are a means to an end for personalization and recommendation. I often talk about the similarity when people ask us what the connection is between the various products and services we have at Strands (e.g. Strands.com and the soon-to-be launched moneyStrands). They both aggregate data from multiple (personal) sources, identify patterns and ultimately make personalized recommendations based on a user's implicit and explicit input.

MichDdot · 1 year ago

I think Lifestreaming is the lead off for a type of total immersion between life and web for the coming generation of semantic technology.

JMO, Peace
Mich D

Jesse · 1 year ago

@Mark I tend to agree with you; Web 1.0 let users generate content, Web 2.0 brought us the RSS feeds, and REST APIs to use that content outside the sites where it was made, and Web 3.0 will arrive when we figure out how to make that data do something useful for us. Until recently Lifestreaming has been a relatively simple matter of aggregating a person's feeds, but there's potential to do so much more. By accumulating these feeds of data we are actually semantically organizing them. We are saying; all this data relates to a person. As I build my application http://www.agglodex.com it's my goal to do something other than aggregate and republish all your content. The stuff you make online can tell us what you're interested in (aka attention data) and that's at the heart of any recommendation system. I can't wait to see how people apply the techniques we Lifestreamers are employing to other sets of data.

JDEbberly · 1 year ago

Your thoughtful article really made me start thinking about what Web 3.0 may someday be like, Louis. I really enjoyed this article!

Melanie Baker · 1 year ago

The next phase will be creating intelligence based on the data. The first step to that will be recommendation engines.

Absolutely. Creating intelligence (with which users can interact) is what we do now, and requests for a recommendation engine are something we get regularly (and are working on).

I think, though, that better analysis of and interaction with our data is just an early step, and one that's still very "machine-based". A fundamental part of lifestreaming is that it's our lives, and we're not machines. Even with hard data, once you get into the recommendation side of things, it gets less binary and more human, and humans are messy and unpredictable sometimes.

Slicing and dicing data in particular ways isn't going to be a one size fits all answer. Especially when we get into the parts of lifestreaming that deal with relationships. A need for relationship management online is already something increasingly needed, and filled with all the subtleties and minefields of human interaction (combined with trickiness like invisibility and relationships for which English has no accurate descriptive terms).

There currently aren't really intelligent tools to manage relationship-centered data well like there are to manage financial data, RSS feeds, photos, etc., and I think it's something we're going to have to sort out, though not without a few stops, starts, and re-directs, I'm sure (see early comment about humans being messy and unpredictable...).

Stefanos Karagos · 1 year ago

Web2 is all around Social Media
The "next" Web will be around of Personal Media and Lifestreaming is one of the major components...

Mark · 1 year ago

good post, I like the term "financestream"...you don't have Facebook Connect intergrated yet (what gives"?!

mjlambie · 9 months ago

very cool post. i see intelligence from the stream. recommendations, predictive models, so many possibilities. will make a movie like pi very real.