Several Applications in Machine Learning and Netflix competition

Advisor: Wei-Chang YehStudent: Jing-Feng DengReport Date: 12/27/2013

4 Papers in this talk

• From the course material of coursera (online NTU ML foundation course)

• Provided by Dr. Lin (Dr. 林 田軒 )

Machine Learning in Food

Machine Learning in Food

• Sadilek et al. (2013)

• Foodborne illness detecting system (nEmesis)

• 4 month data collection

• 3,800,000 twitter data (2012/12/26~2013/4/25)

• NYC

• Twitter(+foursquare) Geocoding => GPS location

• Twitter data => corpus

• Human guided Machine Learning

• SVM

• Lots of statistics analysis

Machine Learning in Food: SVM learning

Machine Learning in Food: Top 20 significant Corpus

Machine Learning in Clothes

• Abu-Mostafa (2012)

• Fashion, style, how to wearing

• Fashion Recommendation System

piqueoutfit

Source: http://vimeo.com/34789625

Machine Learning in Traffic

• Stallkamp et al. (2012)

• GTSRB(German Traffic Sign Recognition Benchmark)

• 52,000 pictures

• 43 diffreent icons

Google self-driving cars

Source: http://goo.gl/4EUDw

Netflix competition

• Bell et al. (2009), Abu-Mostafa (2012)

• Authors are from AT&T and Yahoo!

• Netflix: a company renting movies online

• 2007=>8.43%

• 2008=>9.63%

• 2009=>10.06%

• KDDCup

The Neighborhood Model

The Latent-Factor Approach

Reference• Sadilek, A., Brennan, S., Kautz, H., & Silenzio, V. (2013, March). nEmesis: Which

Restaurants Should You Avoid Today?. In First AAAI Conference on Human Computation and Crowdsourcing.

• Y. S. Abu-Mostafa. Machines that think for themselves: New techniques for teaching computers how to learn are beating the experts. Scientific American, 289(7):78-81, 2012.

• R. Bell, J. Bennett, Y. Koren, and C. Volinsky. The million dollar programming prize. IEEE Spectrum, 46(5):29–33, 2009.

• J. Stallkamp, M. Schlipsing, J. Salmen, C. Igel: Introduction to the Special Issue on Machine Learning for Traffic Sign Recognition. IEEE Transactions on Intelligent Transportation Systems 13(4): 1481-1483, 2012.

• GTSRB(German Traffic Sign Recognition Benchmark), http://benchmark.ini.rub.de，

• KDDCup, http://www.kdd.org/kddcup/index.php