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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

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Recap of some of the papers and presentations at RecSys 2012. Given at the Berlin RecSys Meetup

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Page 1: State of RecSys: Recap of RecSys 2012

State of RecSysRecap of the 2012 ACM Conference on

Recommender Systems

@alansaid October 23 2012RecSys Meetup, Berlin

Page 2: State of RecSys: Recap of RecSys 2012

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

Page 3: State of RecSys: Recap of RecSys 2012

Background cnt'd

"Break" point - 2006

Page 4: State of RecSys: Recap of RecSys 2012

What? Who?

8 Workshops4 Tutorials2 Keynotes4 Invited Talks24 Papers21 Posters10 Demos2 Challenges

NetflixLinkedInFoursquareStumbleUponFacebookYahoo!MicrosoftThe Echo NestAcademia

33% industry

Page 5: State of RecSys: Recap of RecSys 2012

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

Page 6: State of RecSys: Recap of RecSys 2012

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

Page 7: State of RecSys: Recap of RecSys 2012

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

Page 8: State of RecSys: Recap of RecSys 2012

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

Page 9: State of RecSys: Recap of 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/KrisJack/mendeley-suggest-engineering-a-personalised-article-recommender-system

Page 10: State of RecSys: Recap of RecSys 2012

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

Page 11: State of RecSys: Recap of RecSys 2012

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

Page 12: State of RecSys: Recap of 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

Page 13: State of RecSys: Recap of RecSys 2012

Topics

Human Factors

Social

Preference

Context

Big Data

Evaluation

top-n, popularity, user-centricity, experiments

Online Controlled ExperimentsKohavi

Ranking Rating prediction

@ronnyk

Page 14: State of RecSys: Recap of RecSys 2012

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

Page 15: State of RecSys: Recap of RecSys 2012

Popular vs. Unpopular topics

User-centricityRankingBig DataReal Systems Live EvaluationQuality of data

Rating predictionTagging(Movies)

Page 16: State of RecSys: Recap of RecSys 2012

RecSys 2013

Website:http://recsys.hosting.acm.org

Deadlines:Probably April 2013

Page 17: State of RecSys: Recap of RecSys 2012

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

Page 18: State of RecSys: Recap of RecSys 2012

Thanks!Questions?