Sorting big data by revealed preference with application to college ranking
Abstract When ranking big data observations such as colleges in the United States, diverse consumers reveal heterogeneous preferences. The objective of this paper is to sort out a linear ordering for these observations and to recommend strategies to improve their relative positions in the ranking. A...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-04-01
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| Series: | Journal of Big Data |
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| Online Access: | http://link.springer.com/article/10.1186/s40537-020-00300-1 |