Sinha, A., Shen, Z., Song, Y., Ma, H., Eide, D., Hsu, B.-J. P. & Wang, K.
(2015).
An Overview of Microsoft Academic Service (MAS) and Applications..
In A. Gangemi, S. Leonardi & A. Panconesi (eds.),
WWW (Companion Volume) (p./pp. 243-246),
: ACM.
ISBN: 978-1-4503-3473-0
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
Zubiaga, A., Fresno, V., Martinez, R. & Garcia-Plaza, A. P.
(2012).
Harnessing Folksonomies to Produce a Social Classification of Resources. IEEE Transactions on Knowledge and Data Engineering,
99.
doi: http://doi.ieeecomputersociety.org/10.1109/TKDE.2012.115
La Rowe, G., Ambre, S., Burgoon, J., Ke, W. & Börner, K.
(2009).
The Scholarly Database and its utility for scientometrics research. Scientometrics,
79, 219--234.
doi: 10.1007/s11192-009-0414-2
Capocci, A. & Caldarelli, G.
(2008).
Folksonomies and clustering in the collaborative system CiteULike. Journal of Physics A: Mathematical and Theoretical,
41, 224016 (7pp).
Caverlee, J. & Webb, S.
(2008).
A Large-Scale Study of MySpace:
servations and Implications for Online Social Networks.
Proceedings from the 2nd International Conference on Weblogs and Social Media (AAAI),
.
Narayanan, A. & Shmatikov, V.
(2008).
Robust De-anonymization of Large Sparse Datasets.
Proc. of the 29th IEEE Symposium on Security and Privacy (p./pp. 111--125),
May,
: IEEE Computer Society.
Song, Y., Zhang, L. & Giles, C. L.
(2008).
A sparse gaussian processes classification framework for fast tag suggestions.
CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining (p./pp. 93--102),
New York, NY, USA: ACM.
ISBN: 978-1-59593-991-3
Hassan-Montero, Y. & Herrero-Solana, V.
(2006).
Improving Tag-Clouds as Visual Information Retrieval Interfaces.
InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies,
.
Liu, V. & Curran, J. R.
(2006).
Web Text Corpus for Natural Language Processing..
EACL,
: The Association for Computer Linguistics.
ISBN: 1-932432-59-0
Narayanan, A. & Shmatikov, V.
(2006).
How To Break Anonymity of the Netflix Prize Dataset
McRae, K., Cree, G. S., Seidenberg, M. S. & McNorgan, C.
(2005).
Semantic feature production norms for a large set of living and nonliving things. Behav Res Methods,
37, 547-559.
Newman, C. B. D. & Merz, C.
(1998).
UCI Repository of machine learning databases
(Technical report, University of California, Irvine, Dept. of Information and Computer Sciences)