Atzmueller, M., Becker, M., Kibanov, M., Scholz, C., Doerfel, S., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J. & Stumme, G.
(2014).
Ubicon and its applications for ubiquitous social computing. New Review of Hypermedia and Multimedia,
20, 53-77.
doi: 10.1080/13614568.2013.873488
Beel, J., Langer, S., Genzmehr, M., Gipp, B., Breitinger, C. & Nürnberger, A.
(2013).
Research Paper Recommender System Evaluation: A Quantitative Literature Survey.
Adomavicius, G. & Zhang, J.
(2012).
Impact of Data Characteristics on Recommender Systems Performance. ACM Trans. Manage. Inf. Syst.,
3, 3:1--3:17.
doi: 10.1145/2151163.2151166
Gemmell, J., Schimoler, T., Mobasher, B. & Burke, R.
(2012).
Resource recommendation in social annotation systems: A linear-weighted hybrid approach. Journal of Computer and System Sciences,
78, 1160 - 1174.
doi: 10.1016/j.jcss.2011.10.006
Konstan, J. & Riedl, J.
(2012).
Recommender systems: from algorithms to user experience. User Modeling and User-Adapted Interaction,
22, 101-123.
doi: 10.1007/s11257-011-9112-x
leaong, S.
(2012).
A survey of recommender systems for scientific papers.
BibSonomy :: edit publication.
Owen, S.
(2012).
Mahout in action.
Shelter Island, N.Y.:
Manning Publications Co..
ISBN: 9781935182689 1935182684
Heck, T., Peters, I. & Stock, W. G.
(2011).
Testing collaborative filtering against co-citation analysis and bibliographic coupling for academic author recommendation.
Workshop on Recommender Systems and the Social Web (ACM RecSys'11),
.
Jannach, D.
(2011).
Recommender systems : an introduction.
New York:
Cambridge University Press.
ISBN: 9780521493369 0521493366
Kim, H.-N. & El Saddik, A.
(2011).
Personalized PageRank vectors for tag recommendations: inside FolkRank.
Proceedings of the fifth ACM conference on Recommender systems (p./pp. 45--52),
New York, NY, USA: ACM.
ISBN: 978-1-4503-0683-6
Kubatz, M., Gedikli, F. & Jannach, D.
(2011).
LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations.
In
C. Huemer & T. Setzer (ed.),
E-Commerce and Web Technologies
, Vol. 85
(pp. 258-269)
.
Springer Berlin Heidelberg
.
ISBN: 978-3-642-23013-4.
Montañés, E., Ramón Quevedo, J., Díaz, I., Cortina, R., Alonso, P. & Ranilla, J.
(2011).
TagRanker: learning to recommend ranked tags. Logic Journal of IGPL,
19, 395-404.
doi: 10.1093/jigpal/jzq036
Pariser, E.
(2011).
The filter bubble : what the Internet is hiding from you.
New York:
Penguin Press.
ISBN: 9781594203008 1594203008
Shani, G. & Gunawardana, A.
(2011).
Evaluating recommendation systems. Recommender Systems Handbook,
, 257--297.
Cremonesi, P., Koren, Y. & Turrin, R.
(2010).
Performance of Recommender Algorithms on Top-n Recommendation Tasks.
Proceedings of the Fourth ACM Conference on Recommender Systems (p./pp. 39--46),
New York, NY, USA: ACM.
ISBN: 978-1-60558-906-0
Gedikli, F. & Jannach, D.
(2010).
Rating items by rating tags. Systems and the Social Web at ACM ,
.
Priem, J. & Hemminger, B. H.
(2010).
Scientometrics 2.0: New metrics of scholarly impact on the social Web
First Monday; Volume 15, Number 7 - 5 July 2010
Rendle, S. & Schmidt-Thieme, L.
(2010).
Pairwise interaction tensor factorization for personalized tag recommendation.
Proceedings of the third ACM international conference on Web search and data mining (p./pp. 81--90),
New York, NY, USA: ACM.
ISBN: 978-1-60558-889-6
Bogers, T. (2009).
Recommender Systems for Social Bookmarking.
Unpublished doctoral dissertation
, Tilburg University
.
Jäschke, R., Eisterlehner, F., Hotho, A. & Stumme, G.
(2009).
Testing and Evaluating Tag Recommenders in a Live System.
RecSys '09: Proceedings of the 2009 ACM Conference on Recommender Systems,
New York, NY, USA: ACM.
Landia, N. & Anand, S.
(2009).
Personalised Tag Recommendation. Recommender Systems & the Social Web,
.
Rendle, S. & Schmidt-Thieme, L.
(2009).
Factor Models for Tag Recommendation in BibSonomy.
In F. Eisterlehner, A. Hotho & R. Jäschke (eds.),
ECML PKDD Discovery Challenge 2009 (DC09) (p./pp. 235--242),
September,
Bled, Slovenia: CEUR Workshop Proceedings.
Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G.
(2006).
Trend detection in folksonomies.
Proceedings of the First international conference on Semantic and Digital Media Technologies (p./pp. 56--70),
Berlin, Heidelberg: Springer-Verlag.
ISBN: 3-540-49335-2, 978-3-540-49335-8
McNee, S. M., Riedl, J. & Konstan, J. A.
(2006).
Being accurate is not enough: how accuracy metrics have hurt recommender systems.
CHI '06 extended abstracts on Human factors in computing systems (p./pp. 1097--1101),
New York, NY, USA: ACM.
ISBN: 1-59593-298-4
McNee, S. M., Kapoor, N. & Konstan, J. A.
(2006).
Don't look stupid: avoiding pitfalls when recommending research papers.
Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (p./pp. 171--180),
New York, NY, USA: ACM.
ISBN: 1-59593-249-6
Mcnee, S. M. (2006).
Meeting User Information Needs in Recommender Systems.
Unpublished doctoral dissertation
, University of Minnesota
.
Adomavicius, G. & Tuzhilin, A.
(2005).
Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering,
17, 734--749.
doi: http://doi.ieeecomputersociety.org/10.1109/TKDE.2005.99
Herlocker, J. L., Konstan, J. A., Terveen, L. G. & Riedl, J. T.
(2004).
Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst.,
22, 5--53.
doi: 10.1145/963770.963772
Schein, A. I., Popescul, A., Ungar, L. H. & Pennock, D. M.
(2002).
Methods and Metrics for Cold-start Recommendations.
Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (p./pp. 253--260),
New York, NY, USA: ACM.
ISBN: 1-58113-561-0