Systematic Review of Contextual Suggestion and Recommendation Systems for Sustainable e-Tourism

Abstract

Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as one of the central industries to global development to tackle global challenges. With the transformation of information and communication technologies (ICT), e-tourism has evolved globally to establish commercial relationships using the Internet for offering tourism-related products, including giving personalised suggestions. The contextual suggestion has emerged as a modified recommendation system that is integrated with information-retrieval techniques within large databases to provide tourists with a list of suggestions based on contexts, such as location, time of day, or day of the week (weekdays or weekends). This study surveyed literature in the field of contextual suggestion and recommendation systems with a focus on e-tourism. The concerns linked with approaches used in contextual suggestion and recommendation systems are highlighted in this systematic review, while motivations, recommendations, and practical implications in e-tourism are also discussed in this paper. A query search using the keywords “contextual suggestion system”, “recommendation system”, and “tourism” identified 143 relevant articles published from 2012 to 2020. Four major repositories are considered for searching, namely, (i) Science Direct, (ii) Scopus, (iii) IEEE, and (iv) Web of Science. This review was carried out under the protocols of four phases, namely, (i) query searching in major article repositories, (ii) removal of duplicates, (iii) scan of title and abstract, and (iv) complete reading of articles. To identify the gaps in current research, a taxonomy analysis was exemplified into categories and subcategories. The main categories were highlighted as (i) review articles, (ii) model/framework, and (iii) applications. Critical analysis was carried out on the basis of the available literature on the limitations of approaches used in contextual suggestion and recommendation systems. In conclusion, the approaches used are mainly based on content-based filtering, collaborative filtering, preference-based product ranking, and language modelling. The evaluation measures for the contextual suggestion system include precision, normalized discounted cumulative, and mean reciprocal rank, while test collections comprise Internet resources. Given that the tourism industry contributed to the environmental and social-economic development, contextual suggestion and recommendation systems have presented themselves to be relevant in integrating and achieving SDG 9 and SDG 11 in many ways such as web-based e-services by the government sector and smart gadgets based on reliable and real-time data and information for city planners as well as law enforcement personnel in a sustainable city.

Sustainable Tourism Policy, Destination Management and Sustainable Tourism Development: A Moderated-Mediation Model

“…Sustainable tourism is defined as "a positive approach intended to reduce the tensions and friction created by the complex interactions between the tourism industry, visitors, the environment and the communities which are host to holidaymakers" [44] (p. 2). Sustainable tourism contributes to the development and long-term sustainability of the tourist industry [45,46]. Therefore, STD can be considered as tourism development that contributes significantly to the process of development or, at least, do not contradict the maintenance of the principles of development in an indefinite time without compromising the ability of future generations to satisfy their own needs and desires [47].…”

Localizing Global Standards in Toba, Indonesia Through a Tourist-Centric Perspective On UNESCO Guidelines

“…Conversely, the tourists, whether they come for leisure, research or educational purposes, provide a gauge of how these recommendations resonate with those experiencing the sites temporarily (Lopez & Sène-Harper, 2023;Wong et al, 2023). Their feedback can offer invaluable insights into the attractiveness and practicality of the recommendations (Rehman Khan et al, 2021;Shasha et al, 2020;Sutrisno et al, 2023).…”

A Recommendation System for Prosumers Based on Large Language Models

“…Agenda 2030's Sustainable Development Goals (SDGs) 9 and 11 underscored tourism's pivotal role in addressing global challenges, with ICT transformations propelling e-tourism's global evolution [24]. This research delved into contextual suggestion and recommendation systems within e-tourism, spotlighting approaches and their associated challenges through a systematic literature review of articles published between 2012 and 2020 across major repositories.…”

“…AI-powered language model (ChatGPT). Yes [24] Survey literature on contextual suggestion and recommendation systems in etourism.…”