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Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
Attention Profiling for smarter web services
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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

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