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Adaptive Websites Describe them
Adaptive Websites Hi there, Im thinking of doing my university disatation on Adaptive Websites, but to me all they are are sites that are based on results generated when users hit certain content. Is this correct, could you give me a more detailed insight in to what they are and how they work? Cheers, Mike. | flyingbuddha 14 posts. Monday 24 June, 09:47 Reply
Site Self-Optimisation Sorry for the delay, flyingbuddha, I hope its not too late! I've never heard of any adaptive sites in practice, but it'd be interesting to see one. I'd consider the idea like this; to optimise the layout (set of actions controlling appearance) based on the user's trends (a feedback function that determines how good the layout is). By mapping the problem onto a action/fitness, you can use standard AI techniques such as reinforcement learning. You'll learn the best actions that maximise the reward in the long term! Does that make sense? | Alex J. Champandard 934 posts. Tuesday 23 July, 12:44 Reply
Sorta similar Hi there, Thanks for the reply, no it isen't too late, Ive gone ahead with the idea and any input is useful. I have already started getting the basics behind a temporary site, its one that changes focus on elements that have higher views, and admin options on organising a site by various choices. I think that is kinda what you were saying, but yours sounds more like the actual architecture of the layout, mine just moves better selling products to a designated spot so they are easier to see, etc. Mike | flyingbuddha 14 posts. Tuesday 23 July, 14:02 Reply
Optimising Clicks Yes, I thought you meant organising the structure! There are a few sites that optimise their article positions already. Check PHP Nuke. Basically, the most popular story is in the menu, and they have a top 10 X which showcases the best of everything. That sounds like the sort of thing you want, but on a larger scale -- i.e., nearly everywhere in the site. Q-learning can do that nicely... you assign a Q value to each link, and increase it when it gets reward (== a click). Then sort by slightly randomised values of Q to display, in order to find the optimal policy. That's simple reinforcement learning. Check it out ;) Keep in mind that pre-organised links are sometimes better. Constant layout, or layout in a particular order are sometimes very important. Good luck! | Alex J. Champandard 934 posts. Wednesday 24 July, 04:27 Reply
User Modeling and Adaptive Hypermedia Hi Mike, if you haven't already done so, you should take a look at the User Modeling conferences (info and proceedings on-line at www.um.org) and the Adaptive Hypermedia conference (sirius.lcc.uma.es/AH2002/). In addition, Peter Brusilovsky's site (www2.sis.pitt.edu/~peterb/) contains a lot of interesting information about adaptive hypermedia in general. I created a mildly adaptive website for the UM2001 conference. It's still on-line at www.dfki.de/um2001, altough it's no longer maintained. I used Bayesian Networks and Naive Bayes Classifiers to estimate a user's interest in certain topics given evidences extracted from her browsing behavior. Regards, Eric | Eric Schwarzkopf 1 posts. Sunday 28 July, 08:27 Reply
Nice! Wow, Thanks, that information is really useful, I shall read when I have time. Mike | flyingbuddha 14 posts. Sunday 28 July, 16:31 Reply