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some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
some unrefined ideas on recommendations
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some unrefined ideas on recommendations

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a bunch of raw slides describing a possible mechanisms to allow music bands recommendations using Semantic Web technologies and Linked Data stuff. …

a bunch of raw slides describing a possible mechanisms to allow music bands recommendations using Semantic Web technologies and Linked Data stuff.

Informal presentation done at the 3rd project meeting of the NoTube project (http://notube.tv)

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  • 1. some unrefined ideas on recommendations Davide Palmisano - WP3 meeting, 15/09/2009@VU giving a try to the black layout working largely offline...apologize for this crap presentation :) Tuesday, September 15, 2009
  • 2. a realistic scenario: an instance of the Beancounter is running for each user registered on it, we have: a large RDF graph regarding user’s activities, friend relationships, geolocalization and more... Tuesday, September 15, 2009
  • 3. not exactly a coherent, meaningful and immediately usable user profile but, for sure, something where mine interests, topics and user habits Tuesday, September 15, 2009
  • 4. not exactly a coherent, meaningful and immediately usable user profile but, for sure, something where mine interests, topics and user habits “the treasury is there, you just need to know where to dig” - anonymous Tuesday, September 15, 2009
  • 5. Tuesday, September 15, 2009
  • 6. Tuesday, September 15, 2009
  • 7. Tuesday, September 15, 2009
  • 8. in this case we can reasonably claim that: <http://dpalmisano.myopenid.com> foaf:interest <http://dbpedia.org/resource/Category:Post-rock> and then recommend him other stuff with that SKOS subject Tuesday, September 15, 2009
  • 9. how to achieve this? analogically to spiders of a traditional web crawler we can imagine a set of profilers Tuesday, September 15, 2009
  • 10. how to achieve this? analogically to spiders of a traditional web crawler we can imagine a set of profilers according to a predefined set of rules they explore the links and produce a set of coherent triples stating explicit interests Tuesday, September 15, 2009
  • 11. a rule like a SPARQL construct: construct {<http:// dpalmisano.myopenid.com> foaf:interest ?skos} where { <http://dpalmisano.myopenid.com> ? r ?s. ?s skos:Subject ?skos } Tuesday, September 15, 2009
  • 12. a rule like a SPARQL construct: construct {<http:// dpalmisano.myopenid.com> foaf:interest ?skos} where { <http://dpalmisano.myopenid.com> ? r ?s. ?s skos:Subject ?skos } and where is the statistical side of the hybrid algoritm?[1] [1] NoTube DoW Tuesday, September 15, 2009
  • 13. construct {<http://dpalmisano.myopenid.com> foaf:interest ?skos} where { <http:// dpalmisano.myopenid.com> ?r ?s. ?s skos:Subject ?skos } trivially we could consider the number of incoming links of the SKOS subject ?skos starting from resources that are linked with <http://dpalmisano.myopenid.com> an higher number leads to a more enforced foaf:interest ?skos Tuesday, September 15, 2009
  • 14. from a technology perspective Hadoop could be a reasonable choice the links discovery is a pure batch process that needs heavy computations Hadoop is mature enough to be experimented within NoTube Tuesday, September 15, 2009

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