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Mendeley readers
Chapter title |
Clustering Method Using Weighted Preference Based on RFM Score for Personalized Recommendation System in u-Commerce
|
---|---|
Chapter number | 18 |
Book title |
Ubiquitous Information Technologies and Applications
|
Published by |
Springer, Berlin, Heidelberg, January 2014
|
DOI | 10.1007/978-3-642-41671-2_18 |
Book ISBNs |
978-3-64-241670-5, 978-3-64-241671-2
|
Authors |
Young Sung Cho, Song Chul Moon, Seon-phil Jeong, In-Bae Oh, Keun Ho Ryu, Cho, Young Sung, Moon, Song Chul, Jeong, Seon-phil, Oh, In-Bae, Ryu, Keun Ho |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 1 | 17% |
Researcher | 1 | 17% |
Other | 1 | 17% |
Student > Master | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 17% |
Computer Science | 1 | 17% |
Engineering | 1 | 17% |
Unknown | 3 | 50% |