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Integrating heterogeneous information via flexible regularization framework for recommendation

Overview of attention for article published in Knowledge and Information Systems, February 2016
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1 CiteULike
Title
Integrating heterogeneous information via flexible regularization framework for recommendation
Published in
Knowledge and Information Systems, February 2016
DOI 10.1007/s10115-016-0925-0
Authors

Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 28%
Student > Master 7 14%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Student > Postgraduate 2 4%
Other 5 10%
Unknown 15 30%
Readers by discipline Count As %
Computer Science 28 56%
Social Sciences 2 4%
Business, Management and Accounting 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Unknown 17 34%