Recommendation Model for Tourism by Personality Type Using Mass Diffusion Method

Ni Xu, Yu Hsuan Chen, Ping Yu Hsu, Ming Shien Cheng, Chi Yen Li

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Recommendation systems were applied in various fields, such as e-tailing, movies, books,…, and so on. Among them, tourism recommendation systems are also one of the widely research topics. Many tourism recommendation system studies use Collaborative Filtering (CF) method and try to add personality traits to the recommendation system methods to improve the precision. Zhou et al. (2007) suggested that Mass Diffusion (MD) method has more precision than CF method, but this method is mostly applied to recommending movie genres or books, but less often in tourism. Compared to other recommendation systems, fewer studies have considered personality traits such as Big Five Factor (BFF) and Myers-Briggs Type Indicator (MBTI) 16 (personality type). In this study, we used the MD method to establish a model of tourism attraction recommendation, and combined the personality traits commonly used in other recommendation system studies, such as BFF and MBTI 16, to achieve personalized recommendation of tourism attractions. According to the experimental results of this study, compared with the CF method combined with personality traits, the MD method combined with personality traits can recommend attractions to users more accurately.

原文???core.languages.en_GB???
主出版物標題Human Interface and the Management of Information
主出版物子標題Applications in Complex Technological Environments - Thematic Area, HIMI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
編輯Sakae Yamamoto, Hirohiko Mori
發行者Springer Science and Business Media Deutschland GmbH
頁面80-95
頁數16
ISBN(列印)9783031065088
DOIs
出版狀態已出版 - 2022
事件Thematic area Human Interface and the Management of Information, HIMI 2022 Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online
持續時間: 26 6月 20221 7月 2022

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13306 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???Thematic area Human Interface and the Management of Information, HIMI 2022 Part of the 24th HCI International Conference, HCII 2022
城市Virtual, Online
期間26/06/221/07/22

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