OpenRecommenderOpenRecommender

A Cross-Platform Semantic Recommendation Engine Bryan Copeland, BCmoney MobileTV

SW Adoption (Major Issues)SW Adoption (Major Issues)

Data linkage & integration

Vocabulary selection

Service & Content discovery

Search-equivalent paradigm

RecommendationsRecommendations

What is a recommendation? Interesting video (Video + Discussion) Shocking News story (News + Text + Organization) Delicious recipe/restaurant (Food + Text/Location) Favorite song/band (Person + Organization/Audio) “My shows” (Video + Person + Event) Medical Dataset to query (Species + Text + License) Medical treatment (Species + Person + Text) Legal services (Person + Organization + Profession + Event)

I like it, so you must like it too!

TaxonomyTaxonomy

Audio Celestial Code Device Discussion Event Food Image License

LocationNewsOrganizationPersonProfessionSpeciesTextVideo

SchemaSchema

{ "recommendations": [ { "recommendation" : { "title":"", "image":"", "link":"", "description":"“ } } ]}

<recommendations> <recommendation> <title><title> <image></image> <link></link> <description></description> … </recommendation> …<recommendations>

XML JSON

SemanticsSemantics

RDF<foaf:Person rdf:ID="http://facebook.com/bcmoney"> <foaf:name> Bryan Copeland </foaf:name> <rec:recommends> <dc:title lang="ja">Akunin</dc:title> <dc:title lang="en">Villain</dc:title> <dc:image>...</dc:image> <dc:source> http://www.akunin.jp/ </dc:source> <dc:description>…</dc:description> </rec:recommends></foaf:Person>

n3@prefix foaf: <http://xmlns.com/foaf/0.1/>.@prefix dc: <http://purl.org/dc/elements/1.1/>.@prefix owl: <http://www.w3.org/2002/07/owl#>.@prefix rec: <http://openrecommender.org/schema/>.

<http://facebook.com/bcmoney> foaf:name “Bryan Copeland"; dc:publisher “Facebook“; rec:recommends <http://www.akunin.jp/>. <http://www.akunin.jp/> dc:Title "Akunin"; dc:Title “Villain"; owl:sameAs <http://imdb.com/title/tt1542840/>; owl:sameAs <http://freebase.com/view/m/0dlh7sg>

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OntologyOntology

Mobile PhonesMobile TV

Broadcast Type One-seg DMB IPTV

XMLTV

Dublin CoreFOAFMusic

ArchetypesArchetypes

Lean ForwardResearcher TechieChannel SurferArmchair ActivistSuper FanParty organizerBargain hunter

Lean BackBusy ExecutiveBusiness OwnerCouch PotatoConcerned Parent Jock/CheerleaderParty hopperPack rat

AlgorithmsAlgorithms

Machine Learning (Stats)Non-negative matrix factorization Single Value DecompositionLaBarrie Theory (EQ)Collaborative Filtering (CF)Natural Language Processing (NLP)Fuzzy String Matching“Intelligent” Randomization

RelevanceRelevance

Ranking factor plots performance of algorithms for each Archetype against each Semantic type from Taxonomy

P x Q x R matrixHeight = 10 (# of algorithms)Width = 500 (# of users)Depth = 17 (# of categories in Taxonomy)

ExampleExample

User 1

User 2

… User N

CF 0.014 0.173

ML 0.158 0.092

…

A(n)

Audio…

Video

P

Q

R

P =

Cross-Platform?Cross-Platform?

Platform-specific plugins/apps: WordPress MediaWiki Firefox, IE, Safari, Opera browser plugin iPhone Blackberry Android Java Desktop client?

Web Service API (w/ SPARQL endpoint) PHP, AJAX, HTML5 toolkits W3C Widgets

Looking For…Looking For…

Code Contributors

Sponsors (contest)

Project Champion (industry)

Collaboration, Feedback

QuestionsQuestions

Recommendations replacement for Search?

How can Recommendation Engines (like Search Engines) be gamed?

Ideas on ways to prevent attacks?

Privacy issues? Others?