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

Tecnologia

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

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

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

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

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

how to achieve this?

analogically to spiders of a traditional web
crawler we can imagine a set of proﬁlers

Tuesday, September 15, 2009

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

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

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

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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some unrefined ideas on recommendations

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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