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Items: 1 to 20 of 93

1.

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.

2.

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.

3.

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.

4.

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.

5.

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.

6.

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.

7.

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.

8.

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.

9.

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.

10.

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.

11.

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.

PMID:
21797453
12.

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.

13.

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.

14.

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.

15.

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.

16.

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.

17.

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.

18.

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.

PMID:
25163074
19.

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.

20.

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