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

Paolo Cremonesi, Yehuda Koren, und Roberto Turrin. Performance of Recommender Algorithms on Top-n Recommendation Tasks. Proceedings of the Fourth ACM Conference on Recommender Systems, 39--46, ACM, New York, NY, USA, 2010. [PUMA: evaluation performance recommender] URL

Marius Kubatz, Fatih Gedikli, und Dietmar Jannach. LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations. In Christian Huemer, und Thomas Setzer (Hrsg.), E-Commerce and Web Technologies, (85):258-269, Springer Berlin Heidelberg, 2011. [PUMA: folkrank leavepostout localrank recommender tag] URL

Elena Montañés, José Ramón Quevedo, Irene Díaz, Raquel Cortina, Pedro Alonso, und José Ranilla. TagRanker: learning to recommend ranked tags. Logic Journal of IGPL, (19)2:395-404, 2011. [PUMA: LeavePostOut recommender tag tagranker] URL

Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, und David M. Pennock. Methods and Metrics for Cold-start Recommendations. Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 253--260, ACM, New York, NY, USA, 2002. [PUMA: cold croc groc metrics recommender start] URL

Martin Atzmueller, Martin Becker, Mark Kibanov, Christoph Scholz, Stephan Doerfel, Andreas Hotho, Bjoern-Elmar Macek, Folke Mitzlaff, Juergen Mueller, und Gerd Stumme. Ubicon and its applications for ubiquitous social computing. New Review of Hypermedia and Multimedia, (20)1:53-77, 2014. [PUMA: 2014 computing framework myown recommender social ubicon] URL

Sean Michael Mcnee. Meeting User Information Needs in Recommender Systems. Minneapolis, MN, USA, 2006. [PUMA: cite motivation recommender redundancy]

Joeran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp, Corinna Breitinger, und Andreas Nürnberger. Research Paper Recommender System Evaluation: A Quantitative Literature Survey. 2013. [PUMA: evaluation paper recommender research toread]

Eli Pariser. The filter bubble : what the Internet is hiding from you. Penguin Press, New York, 2011. [PUMA: bubble filter hiding info20 internet recommender] URL

JosephA. Konstan, und John Riedl. Recommender systems: from algorithms to user experience. User Modeling and User-Adapted Interaction, (22)1-2:101-123, Springer Netherlands, 2012. [PUMA: algorithms experience overview recommender survey systems user] URL

Sean Owen. Mahout in action. Manning Publications Co., Shelter Island, N.Y., 2012. [PUMA: action framework mohout recommender] URL

Dietmar Jannach. Recommender systems : an introduction. Cambridge University Press, New York, 2011. [PUMA: introduction recommender recsys] URL

G. Shani, und A. Gunawardana. Evaluating recommendation systems. Recommender Systems Handbook, 257--297, Springer, 2011. [PUMA: evaluation metric metrics recommendation recommender statistic systems test] URL

Andreas Hotho, Robert Jäschke, Christoph Schmitz, und Gerd Stumme. Trend detection in folksonomies. Proceedings of the First international conference on Semantic and Digital Media Technologies, 56--70, Springer-Verlag, Berlin, Heidelberg, 2006. [PUMA: folkrank recommender] URL

Heung-Nam Kim, und Abdulmotaleb El Saddik. Personalized PageRank vectors for tag recommendations: inside FolkRank. Proceedings of the fifth ACM conference on Recommender systems, 45--52, ACM, New York, NY, USA, 2011. [PUMA: folkrank inside recommendation recommender] URL

Steffen Rendle, und Lars Schmidt-Thieme. Pairwise interaction tensor factorization for personalized tag recommendation. Proceedings of the third ACM international conference on Web search and data mining, 81--90, ACM, New York, NY, USA, 2010. [PUMA: factorization pitf recommender tag tensor] URL

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, und Robin Burke. Resource recommendation in social annotation systems: A linear-weighted hybrid approach. Journal of Computer and System Sciences, (78)4:1160 - 1174, 2012. [PUMA: itemRecommendation recommender] URL

Jason Priem, und Bradely H. Hemminger. Scientometrics 2.0: New metrics of scholarly impact on the social Web. First Monday; Volume 15, Number 7 - 5 July 2010, 2010. [PUMA: Scientometrics info20 item recommender webometrics] URL

Sean M. McNee, John Riedl, und Joseph A. Konstan. Being accurate is not enough: how accuracy metrics have hurt recommender systems. CHI '06 extended abstracts on Human factors in computing systems, 1097--1101, ACM, New York, NY, USA, 2006. [PUMA: accuracy item metric recommender] URL

Fatih Gedikli, und Dietmar Jannach. Rating items by rating tags. Systems and the Social Web at ACM, 2010. [PUMA: item rating recommender tags]