Research on House Rental Recommendation Algorithm Based on Deep Learning

DOI

10.2991/978-94-6463-124-1_70How to use a DOI?

Keywords

Deep Learning; Text Convolutional Neural Network; House rental recommendation algorithm

Abstract

This paper proposes a house rental recommendation algorithm based on Deep Learning by combining a text convolutional Neural Network with a content-based recommendation algorithm. The proposed recommendation algorithm makes up for the shortcomings of the traditional recommendation algorithm in extracting user and housing source features. Based on the efficient implementation of housing classification, the user’s preference for housing sources is effectively extracted according to the user’s behavior data, and the personalized recommendation of housing sources is better realized.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xian Shi
AU  - Yan Jiang
PY  - 2023
DA  - 2023/03/29
TI  - Research on House Rental Recommendation Algorithm Based on Deep Learning
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 604
EP  - 613
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_70
DO  - 10.2991/978-94-6463-124-1_70
ID  - Shi2023
ER  -