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Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8–9, 2021, Proceedings, Part I

Research Article

Design of Hotel Marketing Information Management Model Based on Deep Learning

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  • @INPROCEEDINGS{10.1007/978-3-030-82562-1_28,
        author={Lei Tong and Fen Wang},
        title={Design of Hotel Marketing Information Management Model Based on Deep Learning},
        proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I},
        proceedings_a={ICMTEL},
        year={2021},
        month={7},
        keywords={Deep learning Hotel marketing Information management Information extraction Marketing information database},
        doi={10.1007/978-3-030-82562-1_28}
    }
    
  • Lei Tong
    Fen Wang
    Year: 2021
    Design of Hotel Marketing Information Management Model Based on Deep Learning
    ICMTEL
    Springer
    DOI: 10.1007/978-3-030-82562-1_28
Lei Tong1, Fen Wang2
  • 1: Wuhan Business University
  • 2: Wuhan Aiwuyou Technology Co. Ltd.

Abstract

The traditional information management model has poor data transmission efficiency in the process of pushing information services. To solve this problem, this paper designs a hotel marketing information management model based on deep learning. Using Oracle relational database and MVC architecture to build a marketing information database, then use deep learning to extract information features, and classify marketing information of different service categories, connect hotel management and client, and integrate model management functions to provide information services for hotel managers and customers. The experimental results show that the data throughput and transmission rate of the above model are higher than those of the traditional model, and the information transmission efficiency is improved.

Keywords
Deep learning Hotel marketing Information management Information extraction Marketing information database
Published
2021-07-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-82562-1_28
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