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Recommendation Algorithm Design in a Land Exchange Platform

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Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9794))

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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.

This work was funded by MOE (Ministry of Education of China) Youth Project of Humanities and Social Sciences (Project No. 10YJC870024).

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References

  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)

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  4. Hsing, Y.: The Great Urban Transformation: Politics of Land and Property in China. Oxford University Press Catalogue, Oxford (2012)

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Author information

Authors and Affiliations

  1. 555 Liutai Avenue, Wenjiang District, Chengdu, 610041, China

    Xubin Luo & Jiang Duan

Authors
  1. Xubin Luo
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  2. Jiang Duan
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Corresponding author

Correspondence to Xubin Luo .

Editor information

Editors and Affiliations

  1. New Mexico State University , Las Cruces, New Mexico, USA

    Huiping Cao

  2. University of Technology Sydney , Sydney, New South Wales, Australia

    Jinyan Li

  3. Massey University , Auckland, New Zealand

    Ruili Wang

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© 2016 Springer International Publishing Switzerland

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Luo, X., Duan, J. (2016). Recommendation Algorithm Design in a Land Exchange Platform. In: Cao, H., Li, J., Wang, R. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2016. Lecture Notes in Computer Science(), vol 9794. Springer, Cham. https://doi.org/10.1007/978-3-319-42996-0_23

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  • DOI: https://doi.org/10.1007/978-3-319-42996-0_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42995-3

  • Online ISBN: 978-3-319-42996-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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