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A Peer to Peer Housing Rental System with Continuous Spatial-Keyword Searching

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Databases Theory and Applications (ADC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9877))

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Abstract

Apart from traditional intermediary companies, online housing rental systems as their convenience are gaining their popularity. Search is a critical function in these systems, but it does not always meet users’ satisfaction. For example, spatial and keyword distributions are generally be considered separately and the user cannot submit a continuous query requirement before he/she rent a satisfied house. In this paper, we develop a peer to peer housing rental system (P2PHRS) based on Django Framework of Python. We propose an efficient house searching algorithm called Quad-tree plus Inverted List (QIL) to filter housing resources for users according to their spatial and keyword requirements. P2PHRS is designed to be adaptive to a variety of front-end clients, like Web, Android and iOS platform etc. We show the advantages of P2PHRS by several spatial-keyword query demonstration scenarios.

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References

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Acknowledgments

This work was partially supported by NSFC 61232006, NSFC 61401155 and NSFC 61502169.

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Authors and Affiliations

  1. Shanghai Key Lab for Trustworthy Computing, East China Normal University, Shanghai, China

    Yingqian Hou, Xinyin Wang, Liping Wang & Junjie Yao

Authors
  1. Yingqian Hou
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  2. Xinyin Wang
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  3. Liping Wang
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  4. Junjie Yao
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Corresponding author

Correspondence to Liping Wang .

Editor information

Editors and Affiliations

  1. Monash University , Clayton, Australia

    Muhammad Aamir Cheema

  2. School of Comp. Science a. Engineer, University of New South Wales School of Comp. Science a. Engineer, Sydney, Australia

    Wenjie Zhang

  3. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

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© 2016 Springer International Publishing AG

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Hou, Y., Wang, X., Wang, L., Yao, J. (2016). A Peer to Peer Housing Rental System with Continuous Spatial-Keyword Searching. In: Cheema, M., Zhang, W., Chang, L. (eds) Databases Theory and Applications. ADC 2016. Lecture Notes in Computer Science(), vol 9877. Springer, Cham. https://doi.org/10.1007/978-3-319-46922-5_37

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  • DOI: https://doi.org/10.1007/978-3-319-46922-5_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46921-8

  • Online ISBN: 978-3-319-46922-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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