context ontologies for recommending from the social web eoin hurrell and alan smeaton

Context Ontologies for

Recommending from the Social Web

Eoin Hurrell and Alan Smeaton

“Nothing is Written in Stone”

Eoin Hurrell and Alan Smeaton

Contextual Recommendation: the here and now

Eoin Hurrell and Alan Smeaton

“Users: The nut between the screen

and the chair”

Eoin Hurrell and Alan Smeaton

Twitter

Eoin Hurrell and Alan Smeaton

251,807 tweets7,390 users

src: https://twitter.com/logo

“There is more to Context than

Location”-Albrecht Schmidt

Eoin Hurrell and Alan Smeaton

(P. Ingwersen and K. Järvelin. 2005.)

Recommendations:Who to Follow

Eoin Hurrell and Alan Smeaton

I Tweet Therefore I Am

Eoin Hurrell and Alan Smeaton

Posts per hour (24 attributes)

Follower countFriends count

Listed count

Tweet (statuses) count

Favourite count

Are their tweets geo enabled?

Verified

Profile presentation (8 attributes)

61 Context AttributesProtected

Language Place info (8 attributes)

Name info (5 attributes)

Twitter client(s) used

image: http://crgondim.wordpress.com/2011/08/08/dando-uma-cara-pro-cara/

image: http://crgondim.wordpress.com/2011/08/08/dando-uma-cara-pro-cara/

530 SVMs, each built on individual users’

view of their 7,390 peersimage: http://www.epicentersoftware.com/genetrix/features/machine_learning_heuristics.htm

Results: Feature importance

varied greatly

Our top five features

Top average features for discriminating

Most selected features

People are more unique than task-level

context

Eoin Hurrell and Alan Smeaton

Thank You

Eoin Hurrell

Questions?

Contact me at Eoin.Hurrell@computing.dcu.ie

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