2014

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

2013

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

2012

Impact of Data Characteristics on Recommender Systems Performance.
ACM Trans. Manage. Inf. Syst., 3(1):3:1-3:17, 2012.
Gediminas Adomavicius und Jingjing Zhang.
[doi]  [Kurzfassung]  [BibTeX] 
Resource recommendation in social annotation systems: A linear-weighted hybrid approach.
Journal of Computer and System Sciences, 78(4):1160 - 1174, 2012.
Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher und Robin Burke.
[doi]  [Kurzfassung]  [BibTeX] 
Recommender systems: from algorithms to user experience.
User Modeling and User-Adapted Interaction, 22(1-2):101-123, 2012.
JosephA. Konstan und John Riedl.
[doi]  [Kurzfassung]  [BibTeX] 
Mahout in action.
2012.
Sean Owen.
[doi]  [BibTeX] 

2011

Recommender systems : an introduction.
2011.
Dietmar Jannach.
[doi]  [BibTeX] 
Personalized PageRank vectors for tag recommendations: inside FolkRank.
In: Proceedings of the fifth ACM conference on Recommender systems, Reihe RecSys '11, Seiten 45-52. ACM, New York, NY, USA, 2011.
Heung-Nam Kim und Abdulmotaleb El Saddik.
[doi]  [Kurzfassung]  [BibTeX] 
LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations.
In: C. Huemer und T. Setzer (Herausgeber): E-Commerce and Web Technologies, Seiten 258-269. Springer Berlin Heidelberg, 2011.
Marius Kubatz, Fatih Gedikli und Dietmar Jannach.
[doi]  [Kurzfassung]  [BibTeX] 
TagRanker: learning to recommend ranked tags.
Logic Journal of IGPL, 19(2):395-404, 2011.
Elena Montañés, José Ramón Quevedo, Irene Díaz, Raquel Cortina, Pedro Alonso und José Ranilla.
[doi]  [Kurzfassung]  [BibTeX] 
The filter bubble : what the Internet is hiding from you.
2011.
Eli Pariser.
[doi]  [Kurzfassung]  [BibTeX] 
Evaluating recommendation systems.
Recommender Systems Handbook:257-297, 2011.
G. Shani und A. Gunawardana.
[doi]  [BibTeX] 

2010

Performance of Recommender Algorithms on Top-n Recommendation Tasks.
In: Proceedings of the Fourth ACM Conference on Recommender Systems, Reihe RecSys '10, Seiten 39-46. ACM, New York, NY, USA, 2010.
Paolo Cremonesi, Yehuda Koren und Roberto Turrin.
[doi]  [Kurzfassung]  [BibTeX] 
Rating items by rating tags.
Systems and the Social Web at ACM , 2010.
Fatih Gedikli und Dietmar Jannach.
[BibTeX] 
Scientometrics 2.0: New metrics of scholarly impact on the social Web.
2010.
Jason Priem und Bradely H. Hemminger.
[doi]  [Kurzfassung]  [BibTeX] 
Pairwise interaction tensor factorization for personalized tag recommendation.
In: Proceedings of the third ACM international conference on Web search and data mining, Reihe WSDM '10, Seiten 81-90. ACM, New York, NY, USA, 2010.
Steffen Rendle und Lars Schmidt-Thieme.
[doi]  [Kurzfassung]  [BibTeX] 

2006

Trend detection in folksonomies.
In: Proceedings of the First international conference on Semantic and Digital Media Technologies, Reihe SAMT'06, Seiten 56-70. Springer-Verlag, Berlin, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz und Gerd Stumme.
[doi]  [Kurzfassung]  [BibTeX] 
Being accurate is not enough: how accuracy metrics have hurt recommender systems.
In: CHI '06 extended abstracts on Human factors in computing systems, Reihe CHI EA '06, Seiten 1097-1101. ACM, New York, NY, USA, 2006.
Sean M. McNee, John Riedl und Joseph A. Konstan.
[doi]  [Kurzfassung]  [BibTeX] 
Meeting User Information Needs in Recommender Systems.
Doktorarbeit, University of Minnesota, Minneapolis, MN, USA, 2006.
Sean Michael Mcnee.
[Kurzfassung]  [BibTeX] 

2002

Methods and Metrics for Cold-start Recommendations.
In: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Reihe SIGIR '02, Seiten 253-260. ACM, New York, NY, USA, 2002.
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar und David M. Pennock.
[doi]  [Kurzfassung]  [BibTeX]