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Research and Development Housing Rental System with Recommendation System Based on SpringBoot

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Emerging Trends in Intelligent and Interactive Systems and Applications (IISA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1304))

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Abstract

With the rise of the floating population in the past few years, the housing demand of the society is also increasing. In order to improve the combination of Internet and traditional group properties and explore the feasibility of recommendation system in the housing rental industry, the system adopts spring Boot and other frameworks for research and development. The system realizes the functions of house information editing, house information auditing, house information publishing and so on. In the process of using the system, the system will collect the user’s browsing records, construct user feature vectors, recommend house listings and potential roommates for the tenant through the recommendation algorithm, and improve the rental efficiency.

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Acknowledgments

This research is supported and funded by the following projects. Guangdong Ocean University Innovative Entrepreneurship Training Project (CXXL2019247) and Guangdong Ocean University Innovative Team for College Students (CXTD2019003).

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Correspondence to Sheng Gao .

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Li, Y., Gao, S., Wu, W., Xie, P., Xia, H. (2021). Research and Development Housing Rental System with Recommendation System Based on SpringBoot. In: Tavana, M., Nedjah, N., Alhajj, R. (eds) Emerging Trends in Intelligent and Interactive Systems and Applications. IISA 2020. Advances in Intelligent Systems and Computing, vol 1304. Springer, Cham. https://doi.org/10.1007/978-3-030-63784-2_77

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