OpenRecommender is an open source project to create the world's most reliable and scalable Recommendation Engine software for filtering and suggesting content & services of all types, in the right place, at the right time.

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

2. SW Adoption (Major Issues)SW Adoption (Major Issues)
Data linkage & integration
Vocabulary selection
Service & Content discovery
Search-equivalent paradigm

3. 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!

4. TaxonomyTaxonomy
 Audio
 Celestial
 Code
 Device
 Discussion
 Event
 Food
 Image
 License
Location
News
Organization
Person
Profession
Species
Text
Video

5. SchemaSchema
{
"recommendations":
[
{
"recommendation" :
{
"title":"",
"image":"",
"link":"",
"description":"“
}
}
]
}
<recommendations>
<recommendation>
<title><title>
<image></image>
<link></link>
<description></description>
…
</recommendation>
…
<recommendations>
XML JSON

6. 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>
.

7. OntologyOntology
Mobile Phones
Mobile TV
 Broadcast Type
 One-seg
 DMB
 IPTV
 XMLTV
Dublin Core
FOAF
Music

8. ArchetypesArchetypes
Lean Forward
Researcher
Techie
Channel Surfer
Armchair Activist
Super Fan
Party organizer
Bargain hunter
Lean Back
Busy Executive
Business Owner
Couch Potato
Concerned Parent
Jock/Cheerleader
Party hopper
Pack rat

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

10. RelevanceRelevance
Ranking factor plots performance of
algorithms for each Archetype
against each Semantic type from
Taxonomy
P x Q x R matrix
Height = 10 (# of algorithms)
Width = 500 (# of users)
Depth = 17 (# of categories in Taxonomy)

11. 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 =

12. 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

13. Looking For…Looking For…
Code Contributors
Sponsors (contest)
Project Champion (industry)
Collaboration, Feedback

14. QuestionsQuestions
Recommendations replacement for
Search?
How can Recommendation Engines
(like Search Engines) be gamed?
Ideas on ways to prevent attacks?
Privacy issues? Others?