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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationApplications in Complex Technological Environments - Thematic Area, HIMI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
EditorsSakae Yamamoto, Hirohiko Mori
PublisherSpringer Science and Business Media Deutschland GmbH
Pages80-95
Number of pages16
ISBN (Print)9783031065088
DOIs
StatePublished - 2022
EventThematic area Human Interface and the Management of Information, HIMI 2022 Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online
Duration: 26 Jun 20221 Jul 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13306 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic area Human Interface and the Management of Information, HIMI 2022 Part of the 24th HCI International Conference, HCII 2022
CityVirtual, Online
Period26/06/221/07/22

Keywords

  • Big Five Factor (BFF)
  • Mass diffusion method
  • Myers-Briggs type indicator (MBTI) 16 personality type
  • Tourism recommendation

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