A neural multi-context modeling framework for personalized attraction recommendation

Chenzhong Bin; Tianlong Gu; Zhonghao Jia; Guimin Zhu; Cihan Xiao

doi:10.1007/s11042-019-08554-5

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A neural multi-context modeling framework for personalized attraction recommendation

Chenzhong Bin Tianlong Gu Zhonghao Jia Guimin Zhu Cihan Xiao

Year: 2020 Journal: Multimedia Tools and Applications Vol: 79 (21-22)Pages: 14951-14979 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-019-08554-5

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Keywords:

Tourism Computer science Context (archaeology) Attraction Topic model Feature (linguistics) Latent Dirichlet allocation Leverage (statistics) Artificial intelligence Data science Machine learning Geography

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

A neural multi-context modeling framework for personalized attraction recommendation

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