A computer vision-based concept model to recommend domestic overseas-like travel experiences: A design science study DOI Creative Commons
Van-Hau Trieu, Huy Quan Vu, Marta Indulska

и другие.

Decision Support Systems, Год журнала: 2023, Номер 181, С. 114149 - 114149

Опубликована: Дек. 19, 2023

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 has emerged, namely overseas-like experiences. These are attractive who preference exotic locations but no desire internationally. Existing were not designed such applications, nor do they the relevant recommend support decision making. To address this challenge, paper focuses on development model based visual content photos prototype application. The application uses latest advancement in computer vision — concept learn high-level concepts an overseas destination photo collection identify similar We demonstrate usability with large-scale data set approximately 479,000 taken several countries evaluate its utility efficacy through four focus groups target users.

Язык: Английский

A computer vision-based concept model to recommend domestic overseas-like travel experiences: A design science study DOI Creative Commons
Van-Hau Trieu, Huy Quan Vu, Marta Indulska

и другие.

Decision Support Systems, Год журнала: 2023, Номер 181, С. 114149 - 114149

Опубликована: Дек. 19, 2023

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 has emerged, namely overseas-like experiences. These are attractive who preference exotic locations but no desire internationally. Existing were not designed such applications, nor do they the relevant recommend support decision making. To address this challenge, paper focuses on development model based visual content photos prototype application. The application uses latest advancement in computer vision — concept learn high-level concepts an overseas destination photo collection identify similar We demonstrate usability with large-scale data set approximately 479,000 taken several countries evaluate its utility efficacy through four focus groups target users.

Язык: Английский

Процитировано

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