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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szufel, Przemyslaw Kaminski, Bogumil Koloch, Grzegorz |
| Copyright Year | 2015 |
| Description | Author affiliation: Warsaw School of Economics, Al. Niepodległości 162, 02-554 Warszawa, Poland (Szufel, Przemyslaw; Kaminski, Bogumil; Koloch, Grzegorz) |
| Abstract | Social network platforms are a useful source of information on preferences of citizens. However, population exposed on social network platform is non representative and in result preferences collected through such platforms are biased. The goal of the public administration is to utilize the data that can be collected through such online platforms in order to understand preferences and its structure in the society and hence better react to community's needs. This situation calls for an algorithm that will allow to generalize information collected on social platform users on the entire population. We propose and evaluate a two-step methodology for testing of such algorithms: (1) synthetic population is generated and its sample is selected that represents social platform users and (2) regenerate the whole population on the basis of data from sub-population. In this way we can evaluate the quality of different algorithms aimed at preference elicitation from social platform data. |
| Starting Page | 3206 |
| Ending Page | 3207 |
| File Size | 41585 |
| Page Count | 2 |
| File Format | |
| ISSN | 15584305 |
| e-ISBN | 9781467397438 |
| DOI | 10.1109/WSC.2015.7408472 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-12-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sociology Statistics Social network services Testing Portals Logistics Data models |
| Content Type | Text |
| Resource Type | Article |
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