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Explaining APML: what it is & why you want it

Published on October 10, 2007 in DataPortability, with 26 Comments. Tags: , , , , , , , , , , , , , , , , , , , , , , , .

Lately there has been a lot of chatter about APML. As a member of the workgroup advocating this standard, I thought I might help answer some of the questions on people’s minds. Primarily – “what is an APML file”, and “why do I want one”. I suggest you read the excellent article by Marjolein Hoekstra on attention profiling that she recently wrote, if you haven’t already done so, as an introduction to attention profiling. This article will focus on explaining what the technical side of an APML file is and what can be done with it. Hopefully by understanding what APML actually is, you’ll understand how it can benefit you as a user.

APML – the specification
APML stands for Attention Profile Markup Language. It’s an attention economy concept, based on the XML technical standard. I am going to assume you don’t know what attention means, nor what XML is, so here is a quick explanation to get you on board.

Attention
There is this concept floating around on the web about the attention economy. It means as a consumer, you consume web services – e-mail, rss readers, social networking sites – and you generate value through your attention. For example, if I am on a Myspace band page for Sneaky Sound System, I am giving attention to that band. Newscorp (the company that owns MySpace) is capturing that implicit data about me (ie, it knows I like Electro/Pop/House music). By giving my attention, Newscorp has collected information about me. Implicit data are things you give away about yourself without saying it, like how people can determine what type of person you are purely off the clothes you wear. It’s like explicit data – information you give up about yourself (like your gender when you signed up to MySpace).

Attention camera

I know what you did last Summer

XML
XML is one of the core standards on the web. The web pages you access, are probably using a form of XML to provide the content to you (xHTML). If you use an RSS reader, it pulls a version of XML to deliver that content to you. I am not going to get into a discussion about XML because there are plenty of other places that can do that. However I just want to make sure you understand, that XML is a very flexible way of structuring data. Think of it like a street directory. It’s useless if you have a map with no street names if you are trying to find a house. But by having a map with the street names, it suddenly becomes a lot more useful because you can make sense of the houses (the content). It’s a way of describing a piece of content.

APML – the specification
So all APML is, is a way of converting your attention into a structured format. The way APML does this, is that it stores your implicit and explicit data – and scores it. Lost? Keep reading.

Continuing with my example about Sneaky Sound System. If MySpace supported APML, they would identify that I like pop music. But just because someone gives attention to something, that doesn’t mean they really like it; the thing about implicit data is that companies are guessing because you haven’t actually said it. So MySpace might say I like pop music but with a score of 0.2 or 20% positive – meaning they’re not too confident. Now lets say directly after that, I go onto the Britney Spears music space. Okay, there’s no doubting now: I definitely do like pop music. So my score against “pop” is now 0.5 (50%). And if I visited the Christina Aguilera page: forget about it – my APML rank just blew to 1.0! (Note that the scoring system is a percentage, with a range from -1.0 to +1.0 or -100% to +100%).

APML ranks things, but the concepts are not just things: it will also rank authors. In the case of Marjolein Hoekstra, who wrote that post I mention in my intro, because I read other things from her it means I have a high regard for her writing. Therefore, my APML file gives her a high score. On the other hand, I have an allergic reaction whenever I read something from Valleywag because they have cooties. So Marjolein’s rank would be 1.0 but Valleywag’s -1.0.

Aside from the ranking of concepts (which is the core of what APML is), there are other things in an APML file that might confuse you when reviewing the spec. “From” means ‘from the place you gave your attention’. So with the Sneaky Sound System concept, it would be ‘from: MySpace’. It’s simply describing the name of the application that added the implicit node. Another thing you may notice in an APML file is that you can create “profiles”. For example, the concepts about me in my “work” profile is not something I want to mix with my “personal” profile. This allows you to segment the ranked concepts in your APML into different groups, allowing applications access to only a particilar profile.

Another thing to take note of is ‘implicit’ and ‘explicit’ which I touched on above – implicit being things you give attention to (ie, the clothes you wear – people guess because of what you wear, you are a certain personality type); explicit being things you gave away (the words you said – when you say “I’m a moron” it’s quite obvious, you are). APML categorises concepts based on whether you explicitly said it, or it was implicitly determined by an application.

Okay, big whoop – why can an APML do for me?
In my eyes, there are five main benefits of APML: filtering, accountability, privacy, shared data, and you being boss.

1) Filtering
If a company supports APML, they are using a smart standard that other companies use to profile you. By ranking concepts and authors for example, they can use your APML file in the future to filter things that might interest you. As I have such a high ranking for Marjolein, when Bloglines implements APML, they will be able to use this information to start prioritising content in my RSS reader. Meaning, of the 1000 items in my bloglines reader, all the blog postings from her will have more emphasis for me to read whilst all the ones about Valleywag will sit at the bottom (with last nights trash).

2) Accountability
If a company is collecting implicit data about me and trying to profile me, I would like to see that infomation thank you very much. It’s a bit like me wearing a pink shirt at a party. You meet me at a party, and think “Pink – the dude must be gay”. Now I am actually as straight as a doornail, and wearing that pink shirt is me trying to be trendy. However what you have done is that by observation, you have profiled me. Now imagine if that was a web application, where this happens all the time. By letting them access your data – your APML file – you can change that. I’ve actually done this with Particls before, which supports APML. It had ranked a concept as high based on things I had read, which was wrong. So what I did, was changed the score to -1.0 for one of them, because that way, Particls would never show me content on things it thought I would like.

3) Privacy
I joined the APML workgroup for this reason: it was to me a smart away to deal with the growing privacy issue on the web. It fits my requirements about being privacy compliant:

  • who can see information about you
  • when can people see information about you:
  • what information they can see about you

The way APML does that is by allowing me to create ‘profiles’ within my APML file; allowing me to export my APML file from a company; and by allowing me to access my APML file so I can see what profile I have.

drivers

Here is my APML, now let me in. Biatch.

4) Shared data
An APML file can, with your permission, share information between your web-services. My concepts ranking books on Amazon.com, can sit alongside my RSS feed rankings. What’s powerful about that, is the unintended consequences of sharing that data. For example, if Amazon ranked what my favourite genres were about books – this could be useful information to help me filter my RSS feeds about blog topics. The data generated in Amazon’s ecosystem, can benefit me and enjoy a product in another ecosystem, in a mutually beneficial way.

5) You’re the boss!
By being able to generate APML for the things you give attention to, you are recognising the value your attention has – something companies already place a lot of value on. Your browsing habits can reveal useful information about your personality, and the ability to control your profile is a very powerful concept. It’s like controlling the image people have of you: you don’t want the wrong things being said about you. :-)

Want to know more?
Check the APML FAQ. Othersise, post a comment if you still have no idea what APML is. Myself or one of the other APML workgroup members would be more than happy to answer your queries.

5 observations of how social networking (online) has changed social networking (offline)

Published on September 16, 2007 in social computing, with 0 Comments. Tags: , , , , , , , , , , , , , , , , , .

Just then, I had an image get shattered. A well respected blogger, whose online persona had me think they were a very cool person offline, is infact, a fat geek with an annoying voice. I can pretty much cross off the list that he can relate to experiences of how Facebook is mentioned in trendy nightclubs on the dancefloor.

Another thing I have noticed: all the major commentators & players of the Internet economy, are usually married, in their 30s or 40s, and almost all come from an IT background.

Don’t get me wrong – the industry has a lot of people that are a goldmine with what they say. They challenge my thinking, and they are genuinely intelligent. But although they are users of web services like Facebook or MySpace – just like the rest of society – they are people experiencing these technologies in the bubble of the technology community. Their view of the world, is not aligned with what’s actually happening in the mainstream. No surprises there – they are the early adopters, the innovators and the pioneers. It’s funny however, that comparable to other services (like Twitter) the adoption amongst the tech community for Facebook has been slow: it was only when the developer network launched that it started getting the attention.

What I want to highlight is that most commentators have no way in the world of understanding the social impact of these technologies in the demograghic where the growth occurs. We all know for example, Facebook is exploding with users – but do we know why it’s exploding? A married man in his 40s with a degree in computer science, isn’t going to be able to answer that, because most of the growth comes from single 20 year olds with an history major.

So what I am about to recount is my personal experience. I am not dressing it up as a thought-piece; I am just purely sharing how I have seen the world take to social networking sites and how it has transformed the lives of my own and the people around me. I’m 23 years old, the people in my life generally fall into the computer clueless category, and I have about 500 Facebook friends that I know through school, university, work, or just life (about ten are in the tech industry).

1) Social networking sites as a pre-screening tool
Observation: I randomly was approached by a chick one night and during the course of our conversation she insisted I knew a certain person. Ten minutes, and 20 more “I swear…you know xxx” – I finally realised she was right and that I did know that person. For her to be so persistent in her claim, she had to be sure of herself. But how can someone be sure of themselves with that piece of information, when I had only met her 30 seconds earlier?

I then realised this chick had already seen me before – via facebook. I know this is the case, because I myself have wandered on a persons profile and realised we have a lot of mutual friends. In those times I would note it is bound to happen that I would meet them.

Implication: People are meeting people and know who they are before they even talk. They say most couples meet through friends. Well now you can explore your friends’s friends – and then start hanging around that friend when you know they know someone you like!

2) Social networking sites getting you more dates
Observation: I met a chick and had a lengthy chat with her, and although she was nice, I left that party thinking I would probably never see her again as I didn’t give out any contact details. That next day, she added me as a friend on Facebook. In another scenario, there was a girl I met from a long time ago and I hadn’t seen her since. We randomly found each other on Facebook, and I’ve actually got to know the girl – picking up from where we left off.

Implication: Social networking sites help you further pursue someone, even though you didn’t get their number. In fact, it’s a lot less akward. Facebook has become a aprt of the courtship process – flirtation is a big aspect of the sites activity.

3) Social networking sites helping me decide
Observation: There was a big party, but I wasn’t sure if I would go because I didn’t know who would go with me. I looked at the event RSVP, and I to my surprise found out a whole stack of people I knew were going.

Implication: Facebook added valuable information that helped me decide. Not knowing what people were going, I probably wouldn’t have gone. Think about this on another level: imagine you were were interested in buying a camera, and you had access to the camera makes of your friends (because the digital photos they upload contain the camera model – as seen with Flickr). Knowing what your friends buy is a great piece of advice on what you want to buy.

4) Social networking sites increasing my understanding of people I know
Observation: I found out when a friend added me on myspace, that she was bisexual – something I never would have realised. Being bi is no big deal – but it’s information that people don’t usually give up about themselves. Likewise, I have since found out about people I went to school with are now gay. Again – no big deal – but discreet information like that increases your depth of understanding about someone (ie, not making gay jokes around them). I know what courses my contacts have studied since I last saw them, and what they are doing with their lives. I also know of someone that will be at one of my travel destinations when I go on holiday.

Implication: You are in the loop about the lives of everyone you’ve met. It’s nothing bad, because these people control what you can see, but it’s great because there are things you know, things you know you don’t know, but now you can find out things you didn’t know that you didn’t know.

5) Social networking sites as a shared calendar
Observation: My little sister is currently going through 21st season – back to back parties of her friends. One of the gripes of 21sts when organising them, is overlap with other peoples. Not only that – but also the physical process of contacting people and getting them to actually RSVP – it’s a pain. However unlike my 21st season experience from a few years ago, my sister has none of these issues. This is because Facebook is like one big shared calender. Another example is how I send my congratulations to birthday friends a lot more than I have in the past because I actually know its their birthday- due to fact our calendars are effectively pooled as a shared calendar.

Implication: Facebook has become an indispensable tool to peoples social lives.

6) Bonus observation – explaining the viral adoption of Facebook
I have a few friends that don’t have Facebook. You can almost count them on the one hand. And when you bring it up, they explode with a “I’m sick of Facebook!” and usually get defensive because so many people hassle them. In most cases, they make an admission that one day, they will join. The lesson here is that Facebook is growing because of peer pressure. The more people in someone’s network, the more valuable facebook becomes to them. When they say 40 million users, it’s actually 40 million sales people.

God bless the network effect.

Facebook is doing what Google did: enabling

Published on September 9, 2007 in social computing, with 1 Comment. Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , .

The hype surrounding the Facebook platform has created a frenzy of hype – on it being a closed wall, on privacy and the right to users having control of their data, and of course the monetisation opportunities of the applications themselves (which on the whole, appear futile but that will change).

We’ve heard of applications becoming targeted, with one (rumoured) for $3 million – and it has proved applications are an excellent way to acquire users and generate leads to your off-Facebook website & products. We’ve also seen applications desperately trying to monetise their products, by putting Google Ads on the homepage of the application, which are probably just as effective as giving a steak to a vegetarian. The other day however was the first instance where I have seen a monetisation strategy by an application that genuinely looked possible.

It’s this application called Compare Friends, where you essentially compare two friends on a question (who’s nicer, who has better hair, who would you rather sleep with…). The aggregate of responses from your friends who have compared you, can indicate how a person sits in a social network. For example, I am most dateable in my network, and one of the people with prettiest eyes (oh shucks guys!).

The other day, I was given an option to access the premium service – which essentially analyses your friends’ responses.

compare sub

It occurred to me that monetisation strategies for the Facebook platform are possible beyond whacking Google Adsense on the application homepage. Valuable data can be collected by an application, such as what your friends think of you, and that can be turned into a useful service. Like above, they offer to tell you who is most likely to give you a good reference – that could be a useful thing. In the applications current iteration, I have no plans to pay 10 bucks for that data – but it does make you wonder that with time, more sophisticated services can be offered.

Facebook as the bastion of consumer insight

On a similar theme, I did an experiment a few months ago whereby I purchased a facebook poll, asking a certain demographic a serious question. The poll itself revealed some valuable data, as it gave me some more insight into the type of users of Facebook (following up from my original posting). However what it also revealed was the power of tapping into the crowd for a response so quickly.
clustered yes
Seeing the data come in by the minute as up to 200 people took the poll, as a marketer you could quickly gauge how people think about something in a statistically valid sample, in literally hours. You should read this posting discussing what I learned from the poll if you are interested.

It’s difficult to predict the trends I am seeing, and what will become of Facebook because a lot could happen. However one thing is certain, is that right now, it is a highly effective vehicle for individuals to gain insight about themselves – and generating this information is something I think people will pay for if it proves useful. Furthermore, it is an excellent way for organisations to organise quick and effective market research to test a hypothesis.

The power of Facebook, for external entities, is that it gives access to controlled populations whereby valuable data can be gained. As the WSJ notes, the platform has now started to see some clever applications that realise this. Expect a lot more to come.

Facebook is doing what Google did for the industry

When Google listed, a commentator said this could launch a new golden age that would bring optimism not seen since the bubble days to this badly shaken industry. I reflected on that point he made to see if his prophesy would come true one day. In case you hadn’t noticed, he was spot on!

When Google came, it did two big things for the industry

1) AdSense. Companies now had a revenue model – put some Google ads on your website in minutes. It was a cheap, effective advertising network that created an ecosystem. As of 30 June 2007, Google makes about 36% of their revenue from members in the Google network – meaning, non-Google websites. That’s about $2.7 billion. Although we can’t quantify how much their partners received – which could be anything from 20% to 70% (the $2.7 billion of course is Google’s share) – it would be safe to say Google helped the web ecosystem generate an extra $1 billion. That’s a lot of money!

2) Acquisitions. Google’s cash meant that buyouts where an option, rather than IPO, as is what most start-ups aimed for in the bubble days. In fact, I would argue the whole web2.0 strategy for startups is to get acquired by Google. This has encouraged innovation, as all parties from entrepreneurs to VC’s can make money from simply building features rather than actual businesses that have a positive cashflow. This innovation has a cumulative effect, as somewhere along the line, someone discovers an easy way to make money in ways others hadn’t thought possible.

Google’s starting to get stale now – but here comes Facebook to further add to the ecosystem. Their acquisition of a ‘web-operating system‘ built by a guy considered to be the next Bill Gates shows that Facebook’s growth is beyond a one hit wonder. The potential for the company to shake the industry is huge – for example, in advertising alone, they could roll out an advertising network that takes it a step further than contextual advertising as they actually have a full profile of 40 million people. This would make it the most efficient advertising system in the world. They could become the default login and identity system for people – no longer will you need to create an account for that pesky new site asking you to create an account. And as we are seeing currently, they enable a platform the helps other businesses generate business.

I’ve often heard people say that history will repeat itself – usually pointing to how 12 months ago Myspace was all the rage: Facebook is a fad, they will be replaced one day. I don’t think so – Facebook is evolving, and more importantly is that it is improving the entire web ecosystem. Facebook, like Google, is a company that strengthens the web economy. I am probably going to hate them one day, just like how my once loved Google is starting to annoy me now. But thank God it exists – because it’s enabling another generation of commerce that sees the sophistication of the web.