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Items: 1 to 20 of 128

1.

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.

2.

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.

3.

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.

4.

Collaborative Filtering Recommendation on Users' Interest Sequences.

Cheng W, Yin G, Dong Y, Dong H, Zhang W.

PLoS One. 2016 May 19;11(5):e0155739. doi: 10.1371/journal.pone.0155739. eCollection 2016.

5.

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
6.

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.

7.

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.

8.

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.

9.

Multirelational Social Recommendations via Multigraph Ranking.

Mao M, Lu J, Zhang G, Zhang J.

IEEE Trans Cybern. 2016 Sep 12. doi: 10.1109/TCYB.2016.2595620. [Epub ahead of print]

PMID:
28113690
10.

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.

11.

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.

12.

Information filtering via biased random walk on coupled social network.

Nie DC, Zhang ZK, Dong Q, Sun C, Fu Y.

ScientificWorldJournal. 2014;2014:829137. doi: 10.1155/2014/829137. Epub 2014 Jul 22.

13.

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.

14.

Recommendation based on trust diffusion model.

Yuan J, Li L.

ScientificWorldJournal. 2014;2014:159594. doi: 10.1155/2014/159594. Epub 2014 Jun 9.

15.

Solving the accuracy-diversity dilemma via directed random walks.

Liu JG, Shi K, Guo Q.

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jan;85(1 Pt 2):016118. Epub 2012 Jan 30.

PMID:
22400636
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.

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.

18.

Enhancing collaborative filtering by user interest expansion via personalized ranking.

Liu Q, Chen E, Xiong H, Ding CH, Chen J.

IEEE Trans Syst Man Cybern B Cybern. 2012 Feb;42(1):218-33. doi: 10.1109/TSMCB.2011.2163711. Epub 2011 Aug 30.

PMID:
21880572
19.

The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems.

Reafee W, Salim N, Khan A.

PLoS One. 2016 May 6;11(5):e0154848. doi: 10.1371/journal.pone.0154848. eCollection 2016.

20.

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.

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