You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
An Improved Recommender Model by Joint Learning of Both Similarity and Latent Feature Space
|
---|---|
Chapter number | 40 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-46257-8_40 |
Book ISBNs |
978-3-31-946256-1, 978-3-31-946257-8
|
Authors |
Yunxiang Tao, Ming Yang |
Editors |
Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Unknown | 1 | 33% |