A Hybrid Travel Recommender System for Group Tourists

Authors

Wei Liu, Newcastle Business School, Northumbria University, Newcastle upon Tyne, United KingdomFollow
Ran (Sophie) Liu, Newcastle Business School, Northumbria University, Newcastle upon Tyne, United KingdomFollow

Corresponding Author

Wei Liu, Newcastle Business School, Northumbria University, Newcastle upon Tyne, United Kingdom, wei2.liu@northumbria.ac.uk

Document Type

Work in Progress

Abstract

Travel recommender systems (TRSs) are developed as information filtering tools to provide travel decision-making support. They make personalised recommendations based on the user’s preferences. People tend to make group travel decisions based on trip-specific motivations. The current Group Travel Recommender Systems (GTRSs) exploit individual user’s preferences and make group recommendations by aggregating profiles or aggregating recommendations. Although aggregation is a straightforward way to combine the preferences of different group members, it has been critiqued on overlooking of the group dynamics. Interaction needs among tourists’ have a great influence on group travel preference. This proposed study explores a conceptual framework for a hybrid group travel recommender system based on this consideration.

Recommended Citation

Liu, Wei and Liu, Ran (Sophie), "A Hybrid Travel Recommender System for Group Tourists" (2019). ICEB 2019 Proceedings (Newcastle Upon Tyne, UK). 61.
https://aisel.aisnet.org/iceb2019/61