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Mendeley readers
Chapter title |
TGTM: Temporal-Geographical Topic Model for Point-of-Interest Recommendation
|
---|---|
Chapter number | 22 |
Book title |
Database Systems for Advanced Applications
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-32025-0_22 |
Book ISBNs |
978-3-31-932024-3, 978-3-31-932025-0
|
Authors |
Cong Zheng, Haihong E, Meina Song, Junde Song |
Editors |
Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Student > Doctoral Student | 2 | 20% |
Student > Bachelor | 1 | 10% |
Other | 1 | 10% |
Researcher | 1 | 10% |
Other | 1 | 10% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 70% |
Linguistics | 1 | 10% |
Arts and Humanities | 1 | 10% |
Unknown | 1 | 10% |