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 …

Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …

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 …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

Tour planning has become both challenging and time-consuming due to the huge amount of
information available online and the variety of options to choose from. This is more so as …

The present work deals with implementing tourist recommendation systems designed to
predict the user preferences about a place or tourist activity in Mexico. Three …

Online social lending has facilitated the ability of borrowers to reach lenders for financing
support. With the increasing number of social lending projects, it is becoming very difficult for …

With the prevalence of online individual micro-loans, an increasing number of peer-to-peer
lending platforms have been established during the last ten years. One main problem for …

This paper proposes a flexible travel recommender model (FTRM) that emphasizes the
symmetry between user preferences and travel constraints, addressing key challenges in …