Publications

Gediminas Adomavicius, und Jingjing Zhang. Impact of Data Characteristics on Recommender Systems Performance. ACM Trans. Manage. Inf. Syst., (3)1:3:1--3:17, ACM, New York, NY, USA, April 2012. [PUMA: characteristics dataset dependence evaluation model recommender] URL

Arvind Narayanan, und Vitaly Shmatikov. Robust De-anonymization of Large Sparse Datasets. Proc. of the 29th IEEE Symposium on Security and Privacy, 111--125, IEEE Computer Society, Mai 2008. [PUMA: anonymization datamining dataset netflix privacy recommender toread] URL

Yang Song, Lu Zhang, und C. Lee Giles. A sparse gaussian processes classification framework for fast tag suggestions. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, 93--102, ACM, New York, NY, USA, 2008. [PUMA: bibsonomy bookmarking classification dataset ml recommender social tag tagging taggingsurvey toread] URL

Arvind Narayanan, und Vitaly Shmatikov. How To Break Anonymity of the Netflix Prize Dataset. 2006. [PUMA: Preis anonymity dataset netflix prize recommender] URL