4. What? Who?
8 Workshops Netflix
4 Tutorials LinkedIn
33% industry
2 Keynotes Foursquare
4 Invited Talks StumbleUpon
24 Papers Facebook
21 Posters Yahoo!
10 Demos Microsoft
2 Challenges The Echo Nest
Academia
5. Topics (selection)
Human Factors
Optimization, Accuracy, Interaction
Social
Preference
Context
Big Data
Rating effort vs. Accuracy
Evaluation Cremonesi et al.
http://dx.doi.org/10.1145/2365952.2365963
6. Topics
Control, Trends, Social Networks/Feeds
Human Factors
Social
Preference
Context
Big Data
Inspectability and Control in Social Recommenders
Evaluation Knijnenburg et al.
http://dx.doi.org/10.1145/2365952.2365966
http://www.slideshare.net/usabart/inspectability-and-control-in-social-recommenders
7. Topics
Implicit Feedback, Noisy ratings, Ranking
Human Factors
Social
Preference
Context
Big Data
Evaluation
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
8. Topics Cold start, semantic analysis, quality assessment
Human Factors
Social
Preference
Context
Big Data
Finding a needle in a haystack of reviews
Evaluation Levi et al.
http://dx.doi.org/10.1145/2365952.2365977
http://www.slideshare.net/OssiMokryn/cold-start-context-aware-hotel-recommender-system
9. Big data, frameworks, algorithms, cost, requirements
@_krisjack
Topics
Human Factors
Social
Preference
Context
http://www.slideshare.net/KrisJack/mendeley-suggest-engineering-a-personalised-article-recommender-
system @xamat
Big Data
@kamikaze_bhasin
Evaluation @plamere
Approaches used and problems faced
10. Big data, frameworks, algorithms, cost, requirements
Topics
Human Factors
Social
Preference
Context
@xamat
Big Data
http://www.slideshare.net/xamat/building-largescale-realworld-recommender-systems-recsys2012-tutorial
Evaluation @plamere
Approaches used and problems faced
11. Big data, frameworks, algorithms, cost, requirements
Topics
Human Factors
Social
Preference
Context
@xamat
Big Data
@kamikaze_bhasin
Evaluation http://www.slideshare.net/anmolbhasin/beyond-ratings-andfollowers-recsys-2012
Approaches used and problems faced
12. Big data, frameworks, algorithms, cost, requirements
@_krisjack
Topics http://www.slideshare.net/KrisJack/mendeley-suggest-engineering-a-personalised-article-recommender-
system
Human Factorshttp://www.slideshare.net/xamat/building-largescale-realworld-recommender-systems-recsys2012-tutorial
http://www.slideshare.net/anmolbhasin/beyond-ratings-andfollowers-recsys-2012
Social
Preference
Context
@xamat
Big Data
@kamikaze_bhasin
Evaluation @plamere
Approaches used and problems faced
http://www.slideshare.net/plamere/ive-got-10-million-songs-in-my-pocket-now-what
13. Topics top-n, popularity, user-centricity, experiments
@ronnyk
Human Factors
Ranking Rating prediction
Social
Preference
Context
Big Data
Evaluation Online Controlled Experiments
Kohavi
14. Topics top-n, popularity, user-centricity, experiments
@ronnyk
Human Factors
Ranking Rating prediction
Social
Preference
Context
Big Data
Evaluation Online Controlled Experiments
Kohavi
http://www.exp-platform.com/Pages/2012RecSys.aspx
15. Popular vs. Unpopular topics
User-centricity Rating prediction
Ranking Tagging
Big Data (Movies)
Real Systems
Live Evaluation
Quality of data