Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3456| Title: | On the design of social voting recommendation applications | Authors: | Tsapatsoulis, Nicolas Agathokleous, Marilena Mendez, Fernando Djouvas, Constantinos |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Design;Machine learning;Mahalanobis classifier;Voting advice applications | Issue Date: | 11-Jun-2015 | Source: | International Journal on Artificial Intelligence Tools, 2015, vol. 24, no. 3 | Volume: | 24 | Issue: | 3 | Journal: | International Journal on Artificial Intelligence Tools | URI: | https://hdl.handle.net/20.500.14279/3456 | ISSN: | 02182130 | DOI: | 10.1142/S0218213015500098 | Rights: | © World Scientific Publishing Company Attribution-NonCommercial-NoDerivs 3.0 United States |
Type: | Article | Affiliation : | Cyprus University of Technology University of Zurich DigiPolls |
Publication Type: | Peer Reviewed |
| Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
8
checked on Mar 21, 2021
WEB OF SCIENCETM
Citations
50
9
Last Week
0
0
Last month
0
0
checked on Oct 29, 2023
Page view(s)
555
Last Week
1
1
Last month
3
3
checked on Nov 23, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License
