Group trip recommendation systems

Hua Hong Huang, Sheng Min Chiu, Yi Chung Chen, Chiang Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Many of the most popular tourist attraction recommendation systems use the personal profiles of users from social networks. However, most of these services focus on individuals, rather than group activities with friends and family, despite the fact that check-in data includes accompanying members. In this study, we developed a recommendation system specifically for groups of users. Experiments demonstrate the efficacy of the proposed algorithm in making group recommendations based on the Foursquare dataset, with performance exceeding that of baseline methods.

Original languageEnglish
Title of host publicationAdvances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1
EditorsRahul Bhatia, Kohei Arai, Supriya Kapoor
PublisherSpringer Verlag
Number of pages22
ISBN (Print)9783030034016
Publication statusPublished - 2019
EventFuture of Information and Communication Conference, FICC 2018 - Singapore, Singapore
Duration: 2018 Apr 52018 Apr 6

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


OtherFuture of Information and Communication Conference, FICC 2018

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)


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