Attention Profiling for smarter web services

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APML introduction in MindTrek 2008

APML introduction in MindTrek 2008

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  • 1. Attention Profiling towards learning web services Henri Bergius http://bergie.iki.fi http://nemein.com
  • 2. Infoglut Information is out there, but who has time to process it?
  • 3. Web sites are stupid You have to tell the same things to every new service
  • 4. Single-site learning is not enough ...except if you're Amazon or Google
  • 5. Attention Profiling Syndicating the learned information between web services
  • 6. Learn from what user does Image: Faraday Media
  • 7. Turn it into usable attention data Image: Faraday Media
  • 8. Syndicate attention between sites Image: Faraday Media
  • 9. Digg News items favourited
  • 10. last.fm What music you listen to
  • 11. Yahoo! Delicious Bookmarks
  • 12. Ok, you've got attention What then?
  • 13. Highlight interesting items quot;Open Source conference in Tampere this weekquot;
  • 14. Filter out uninteresting items quot;Click here to also see the 'Microsoft' newsquot;
  • 15. How to actually do it? Midgard Apache Mahout • LAMP framework • Java and Hadoop • Attention profiling part of the • Industrial-strength machine API learning • Good for simple services • Cloud computing • Out-of-the-box APML • Less out-of-the-box
  • 16. There, problem solved Your web service learns, reduces infoglut, and serves the user better
  • 17. Play nice Let user know what is being tracked Give user their own attention data Allow history removal
  • 18. Wrap-up Attention profiling can make your service smarter More and more APML sources are coming up APML is easy to support via Open Source software www.apml.org www.dataportability.org Henri Bergius http://bergie.iki.fi