Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model

Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model

In this paper, we try to solve the personalized travel recommendation problem by exploiting the multi-modal data available from the real world social media, and a probabilistic graph model so called Sentiment-aware Multi-modal Topic Model (SMTM) is proposed to mine the latent semantics of the multi-...

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Bibliographic Details
Main Authors: Xi Shao, Guijin Tang, Bing-Kun Bao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Tourism recommendation
multi-modality
topic model
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/8796367/

Internet

https://ieeexplore.ieee.org/document/8796367/

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