Extensive research has been conducted on e-tourism spanning a wide range of concepts,
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …

This study conducts a literature review and thematically synthesizes 71 OTC articles
published from 2002 to 2020, primarily from the leading hospitality and tourism journals. The …

Our study examines the impact of product information presentation on consumers' purchase
intention through information processing (ie, utilitarian and hedonic browsing) in the context …

The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …

The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …

Existing point-of-interesting (POI) recommendation methods lack sufficient integration of
information related to the features of individual users and their corresponding contexts …

Crowding has become popular in academic research. Empirical studies have not, however,
addressed the role of crowding on increasingly popular theme-park settings. This study …

The technology improvement has radically changed how tourists perform their journey
offering new services to enhance their cultural experience and to easily retrieve required …

Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …

Understanding tourists' decision-making processes, in which many factors ranging from
functional attributes to geographical configurations are highly intertwined, has long been a …