A social mechanism for healthcare consulting recommendation

Lien Fa Lin, Yung Ming Li*, Jia Ling Li, Wan Chi Chiang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


People suffering from mental health difficulty need someone's listening and advice, but there are not enough human resources to provide support. In this research, we aim to propose a social mechanism for recommending healthcare knowledge over social networks to resolve the issue of lacking consulters and encourage people to take the initiative to seek for online help. By analysing users’ posts, background, preferences, similarities and relationships, the proposed mechanism can provide proper posts and consulters to facilitate experience-sharing and consulting help from the crowd. With reliable referrals support, people are more comfortable speaking their minds and expressing their emotions, and thus they receive better guidance.

Original languageEnglish
Article number102225
JournalInformation Systems
StatePublished - Jun 2023


  • Crowd wisdom
  • Healthcare support
  • Knowledge sharing
  • Recommender systems
  • Social networks


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