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A computer vision-based concept model to recommend domestic overseas-like travel experiences: A design science study

journal contribution
posted on 2024-01-11, 03:03 authored by Van-Hau TrieuVan-Hau Trieu, Quan VuQuan Vu, M Indulska, Gang LiGang Li
Travel location recommendation systems have long been used by travellers for their ability to suggest destinations and potential travel experiences that match travellers' desires. Recently, a new type of domestic travel has emerged, namely domestic overseas-like travel experiences. These experiences are attractive to travellers who have a preference for exotic locations but no desire to travel internationally. Existing travel recommendation systems were not designed for such applications, nor do they have the relevant ability to recommend domestic overseas-like travel experiences to support travel decision making. To address this challenge, this paper focuses on the development of a recommendation model based on the visual content of photos for domestic overseas-like travel experiences and a prototype application. The application uses the latest advancement in computer vision — the concept model — to learn high-level concepts in an overseas travel destination photo collection to identify similar domestic travel experiences. We demonstrate the usability of the prototype application with a large-scale data set of approximately 479,000 travel photos taken in several countries and evaluate its utility and efficacy through four focus groups with target users.

History

Journal

Decision Support Systems

Article number

114149

Pagination

114149-114149

Location

Amsterdam, The Netherlands

ISSN

0167-9236

eISSN

1873-5797

Language

en

Notes

In press

Publisher

Elsevier BV

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