State of RecSys Recap of the 2012 ACM Conference on Recommender Systems @alansaid October 23 2012 RecSys Meetup, Berlin
State of RecSys: Recap of RecSys 2012
May 08, 2015
Recap of some of the papers and presentations at RecSys 2012. Given at the Berlin RecSys Meetup
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State of RecSysRecap of the 2012 ACM Conference on
Recommender Systems
@alansaid October 23 2012RecSys Meetup, Berlin
BackgroundWorkshops etc.● SIGIR '99, '01● ECAI '06● Recommenders Summer School @ Strands '06 "1st RecSys"
ACM Conference on Recommender System'07 - Minnesota 46%'08 - Lausanne 31%'09 - New York 43%'10 - Barcelona 19%'11 - Chicago 20%'12 - Dublin 20%
2013 - Hong KongOctober 12 - 16
Background cnt'd
"Break" point - 2006
What? Who?
8 Workshops4 Tutorials2 Keynotes4 Invited Talks24 Papers21 Posters10 Demos2 Challenges
NetflixLinkedInFoursquareStumbleUponFacebookYahoo!MicrosoftThe Echo NestAcademia
33% industry
Topics (selection)
Human Factors
Social
Preference
Context
Big Data
Evaluation
Optimization, Accuracy, Interaction
Rating effort vs. AccuracyCremonesi et al.http://dx.doi.org/10.1145/2365952.2365963
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Control, Trends, Social Networks/Feeds
Inspectability and Control in Social RecommendersKnijnenburg et al.http://dx.doi.org/10.1145/2365952.2365966
http://www.slideshare.net/usabart/inspectability-and-control-in-social-recommenders
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Implicit Feedback, Noisy ratings, Ranking
How Many Bits Per Rating?Kluver et al.http://dx.doi.org/10.1145/2365952.2365974
https://www.dropbox.com/sh/e6l0tmdwrsgyhpi/wXw4GfhcNx/presentation.pdf
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Cold start, semantic analysis, quality assessment
Finding a needle in a haystack of reviewsLevi et al.http://dx.doi.org/10.1145/2365952.2365977
http://www.slideshare.net/OssiMokryn/cold-start-context-aware-hotel-recommender-system
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Big data, frameworks, algorithms, cost, requirements
Approaches used and problems faced
@xamat
@_krisjack
@kamikaze_bhasin
@plamere
http://www.slideshare.net/KrisJack/mendeley-suggest-engineering-a-personalised-article-recommender-system
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Big data, frameworks, algorithms, cost, requirements
Approaches used and problems faced
@xamat
@plamere
http://www.slideshare.net/xamat/building-largescale-realworld-recommender-systems-recsys2012-tutorial
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Big data, frameworks, algorithms, cost, requirements
Approaches used and problems faced
@xamat
@kamikaze_bhasinhttp://www.slideshare.net/anmolbhasin/beyond-ratings-andfollowers-recsys-2012
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
Big data, frameworks, algorithms, cost, requirements
Approaches used and problems faced
@xamat
@_krisjack
@kamikaze_bhasin
@plamere
http://www.slideshare.net/plamere/ive-got-10-million-songs-in-my-pocket-now-what
http://www.slideshare.net/KrisJack/mendeley-suggest-engineering-a-personalised-article-recommender-system
http://www.slideshare.net/xamat/building-largescale-realworld-recommender-systems-recsys2012-tutorial
http://www.slideshare.net/anmolbhasin/beyond-ratings-andfollowers-recsys-2012
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
top-n, popularity, user-centricity, experiments
Online Controlled ExperimentsKohavi
Ranking Rating prediction
@ronnyk
Topics
Human Factors
Social
Preference
Context
Big Data
Evaluation
top-n, popularity, user-centricity, experiments
Online Controlled ExperimentsKohavi
Ranking Rating prediction
@ronnyk
http://www.exp-platform.com/Pages/2012RecSys.aspx
Popular vs. Unpopular topics
User-centricityRankingBig DataReal Systems Live EvaluationQuality of data
Rating predictionTagging(Movies)
RecSys 2013
Website:http://recsys.hosting.acm.org
Deadlines:Probably April 2013
on twitter
@neal_lathiaCambridge
@xamatNetflix
@elehack@LenskitRS
@usabartUC Irvine
@dtunkelangLinkedIn
@zenogantner@MyMediaLite
@abelloginUAM
@peterpawasPitt.
@denisparraPitt.
@ocelmaGracenote
@recsyswikiRecommender Systems Wiki
@alexk_zTelefonica R&D
@danielequerciaCambridge
@_krisjackMendeley
@plamereThe Echo Nest
#recsys @recsysdeGerman RecSys stuff
Thanks!Questions?
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