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Recommendation Algorithm Design in a Land Exchange Platform

  • Xubin LuoEmail author
  • Jiang Duan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9794)

Abstract

In China the majority of the farmlands are small pieces, which should be circulated and aggregated to a larger scale and pave the way for modern farms. A Platform needs to be built to connect the small landowners and the potential new farmers or investors. This paper proposes an efficient recommendation algorithm that takes both the space attributes and other properties of farmland pieces into consideration and produce best selection for the intended potential new farmers or investors with customized object functions.

Keywords

Heuristic Algorithm Integer Linear Programming Investment Project Recommendation Algorithm Modern Farm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Mu, R., Giles, J.: Village political economy, land tenure insecurity, and the rural to urban migration decision: evidence from China. World Bank Policy Research Working Paper 7080 (2014)Google Scholar
  2. 2.
    Li, L.: Land titling in China: Chengdu experiment and its consequences. Chin. Econ. J. 5(1), 47–64 (2012)CrossRefGoogle Scholar
  3. 3.
    Ellickson, R.C.: Costs of complex land titles: two examples from China. Brigham-Kanner Prop. Rights Conf. J. 1, 1–281 (2012)Google Scholar
  4. 4.
    Hsing, Y.: The Great Urban Transformation: Politics of Land and Property in China. Oxford University Press Catalogue, Oxford (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.ChengduChina

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