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Netflix Prize
Results: 47

#	Item
21	C OV ER F E AT U RE MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER Add to Reading List Source URL: www2.research.att.com Language: English - Date: 2009-08-06 17:00:57 Information retrieval Collective intelligence Matrix theory Collaboration Social information processing Recommender system Collaborative filtering Cold start Netflix Prize Algebra Information science Mathematics
22	Recommend a Movie, Win a Million Bucks Can a computer learn to choose movies you’re sure to like? Artificial intelligence took on this real-world problem in the Netflix contest. A Caltech alum recounts his Add to Reading List Source URL: eands.caltech.edu Language: English - Date: 2011-10-07 19:51:45 Netflix Business Reed Hastings Opera Solutions Recommender system Machine learning Ensemble learning Root-mean-square deviation Statistics Crowdsourcing Netflix Prize
23	Microsoft Word - RecSys_RUE2012_v6(CameraReady) Add to Reading List Source URL: ir.ii.uam.es Language: English - Date: 2012-09-25 10:47:46 Information retrieval Collaboration Collective intelligence Social information processing Recommender system Collaborative filtering GroupLens Research Netflix Prize Netflix Algebra Mathematics Statistics
24	DIFFERENTIAL PRIVACY AS A RESPONSE TO THE REIDENTIFICATION THREAT: THE FACEBOOK ADVERTISER CASE STUDY Add to Reading List Source URL: www.futureofprivacy.org Language: English - Date: 2012-07-17 11:14:30 Data privacy Internet privacy Information privacy Privacy policy Differential privacy Personally identifiable information Facebook Netflix Prize Privacy Ethics Computing
25	arXiv:1301.6659v1 [cs.LG] 28 Jan[removed]Clustering-Based Matrix Factorization (under review) Nima Mirbakhsh Western University, 1151 Richmond Street, London, ON N6A 3K7, Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-12-20 00:13:09 Linear algebra Matrix theory Multivariate statistics Collaboration Data analysis Recommender system Collaborative filtering Cluster analysis Netflix Prize Algebra Mathematics Statistics
26	Robust De-anonymization of Large Datasets (How to Break Anonymity of the Netflix Prize Dataset) Arvind Narayanan and Vitaly Shmatikov arXiv:cs/0610105v2 [cs.CR] 22 Nov 2007 Add to Reading List Source URL: arxiv.org Language: English - Date: 2008-02-04 22:44:12 Recommender system Adversary model Netflix Data privacy Business Computer science Computing Analysis of algorithms Crowdsourcing Netflix Prize
27	Microsoft Word - Broken Promises of Privacy v0.78 SSRN Update 0.99.docx Add to Reading List Source URL: epic.org Language: English - Date: 2009-10-02 17:13:07 Data protection Identity management De-identification Information privacy Internet privacy Netflix Prize Personally identifiable information Data Protection Directive Privacy Ethics Data privacy
28	PDF Document Add to Reading List Source URL: www2.itif.org Language: English - Date: 2014-06-18 11:38:21 Research ethics Privacy De-identification Differential privacy Protected health information Personally identifiable information Health Insurance Portability and Accountability Act Netflix Prize Internet privacy Data privacy Ethics Data protection
29	R Recommendation System Contest John Myles White March 10, 2011 John Myles White Add to Reading List Source URL: files.meetup.com Language: English - Date: 2011-03-11 11:00:54 Kaggle Netflix Prize Root-mean-square deviation Netflix Recommender system Statistics Crowdsourcing Analytics
30	file:///C:/Users/lguadarram... Add to Reading List Source URL: www.netflixprize.com Language: English - Date: 2009-03-24 13:08:22 Netflix Recommender system Root-mean-square deviation Business Nintendo Wi-Fi Connection Statistics Crowdsourcing Netflix Prize