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Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model

文献类型：期刊论文

作者Shao, Xi1,2; Tang, Guijin1; Bao, Bing-Kun1
刊名IEEE ACCESS
出版日期2019
卷号7页码:113043-113052
关键词Tourism recommendation multi-modality topic model sentiment analysis
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2935155
通讯作者Shao, Xi(shaoxi@njupt.edu.cn)
英文摘要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-modal data on the online travel website. Distinguished from previous approaches, our proposed approach try to mine the topics from tourist and attraction domains separately for disclosing semantics for tourist topics and attraction themes. In addition, we analyze tourist's sentiments on attractions to further obtain the tourist's attitude over attractions and recommend the attraction with proper sentiment on the related attraction themes accordingly. Based on the proposed SMTM model, the documents in tourist domain and in attraction domain can be compared with each other after they were projected into the mutual topic space, and this latent space projection scheme can be further applied to two personalized traveling recommendations, that is, the single platform traveling recommendation and the inter-platform traveling recommendation. Evaluation results based on the real world online travel website have shown the improved performance of our method.
WOS关键词TOURISM ; SYSTEMS
资助项目National Science Foundation of China[61872199] ; National Science Foundation of China[61872424] ; National Science Foundation of China[61772287] ; Key University Science Research Project of Jiangsu Province[18KJA510004] ; Nanjing University of Posts and Telecommunications Support Funding[NY218001]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000483020700001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Science Foundation of China ; Key University Science Research Project of Jiangsu Province ; Nanjing University of Posts and Telecommunications Support Funding
源URL[http://ir.ia.ac.cn/handle/173211/27275]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者Shao, Xi
作者单位1.Nanjing Univ Posts & Telecommun, Coll Commun & Informat Engn, Nanjing 210003, Jiangsu, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Shao, Xi,Tang, Guijin,Bao, Bing-Kun. Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model[J]. IEEE ACCESS,2019,7:113043-113052.
APA Shao, Xi,Tang, Guijin,&Bao, Bing-Kun.(2019).Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model.IEEE ACCESS,7,113043-113052.
MLA Shao, Xi,et al."Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model".IEEE ACCESS 7(2019):113043-113052.

入库方式： OAI收割

来源：自动化研究所

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