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Items: 1 to 20 of 93


Extracting the information backbone in online system.

Zhang QM, Zeng A, Shang MS.

PLoS One. 2013 May 14;8(5):e62624. doi: 10.1371/journal.pone.0062624. Print 2013.


Uncovering the essential links in online commercial networks.

Zeng W, Fang M, Shao J, Shang M.

Sci Rep. 2016 Sep 29;6:34292. doi: 10.1038/srep34292.


Information filtering in sparse online systems: recommendation via semi-local diffusion.

Zeng W, Zeng A, Shang MS, Zhang YC.

PLoS One. 2013 Nov 18;8(11):e79354. doi: 10.1371/journal.pone.0079354. eCollection 2013.


Information Filtering via Heterogeneous Diffusion in Online Bipartite Networks.

Zhang FG, Zeng A.

PLoS One. 2015 Jun 30;10(6):e0129459. doi: 10.1371/journal.pone.0129459. eCollection 2015.


Optimizing online social networks for information propagation.

Chen DB, Wang GN, Zeng A, Fu Y, Zhang YC.

PLoS One. 2014 May 9;9(5):e96614. doi: 10.1371/journal.pone.0096614. eCollection 2014.


Uncovering the information core in recommender systems.

Zeng W, Zeng A, Liu H, Shang MS, Zhou T.

Sci Rep. 2014 Aug 21;4:6140. doi: 10.1038/srep06140.


Similarity from multi-dimensional scaling: solving the accuracy and diversity dilemma in information filtering.

Zeng W, Zeng A, Liu H, Shang MS, Zhang YC.

PLoS One. 2014 Oct 24;9(10):e111005. doi: 10.1371/journal.pone.0111005. eCollection 2014.


The power of ground user in recommender systems.

Zhou Y, Lü L, Liu W, Zhang J.

PLoS One. 2013 Aug 2;8(8):e70094. doi: 10.1371/journal.pone.0070094. Print 2013.


N-screen aware multicriteria hybrid recommender system using weight based subspace clustering.

Ullah F, Sarwar G, Lee S.

ScientificWorldJournal. 2014;2014:679849. doi: 10.1155/2014/679849. Epub 2014 Jul 24. Erratum in: ScientificWorldJournal. 2015;2015:261862.


A framework for diversifying recommendation lists by user interest expansion.

Zhang Z, Zheng X, Zeng DD.

Knowl Based Syst. 2016 Aug 1;105:83-95. doi: 10.1016/j.knosys.2016.05.010. Epub 2016 May 9.


Information filtering via preferential diffusion.

Lü L, Liu W.

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Jun;83(6 Pt 2):066119. Epub 2011 Jun 29.


Promoting cold-start items in recommender systems.

Liu JH, Zhou T, Zhang ZK, Yang Z, Liu C, Li WM.

PLoS One. 2014 Dec 5;9(12):e113457. doi: 10.1371/journal.pone.0113457. eCollection 2014.


Ranking reputation and quality in online rating systems.

Liao H, Zeng A, Xiao R, Ren ZM, Chen DB, Zhang YC.

PLoS One. 2014 May 12;9(5):e97146. doi: 10.1371/journal.pone.0097146. eCollection 2014.


Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks.

Wang W, Chen X, Jiao P, Jin D.

Sci Rep. 2017 Dec 5;7(1):16996. doi: 10.1038/s41598-017-17157-9.


Uncovering heterogeneous interactions in online commercial networks.

Zhang F, Zeng A, Ma B, Fan Y, Di Z.

Sci Rep. 2017 Dec 8;7(1):17209. doi: 10.1038/s41598-017-17410-1.


A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.

Ravi L, Vairavasundaram S.

Comput Intell Neurosci. 2016;2016:1291358. doi: 10.1155/2016/1291358. Epub 2016 Mar 16.


Walking on a user similarity network towards personalized recommendations.

Gan M.

PLoS One. 2014 Dec 9;9(12):e114662. doi: 10.1371/journal.pone.0114662. eCollection 2014.


An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination.

Lin CT, Pal NR, Wu SL, Liu YT, Lin YY.

IEEE Trans Neural Netw Learn Syst. 2015 Jul;26(7):1442-55. doi: 10.1109/TNNLS.2014.2346537. Epub 2014 Aug 21.


Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks.

Ni S, Lv J, Cheng Z, Li M.

PLoS One. 2015 Jul 10;10(7):e0131631. doi: 10.1371/journal.pone.0131631. eCollection 2015.


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