A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management
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 …
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications
E Krishnan, R Mohammed, A Alnoor… - … Journal of Intelligent …, 2021 - Wiley Online Library
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 …
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …
Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications
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 …
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
Deep learning and Internet of Things for tourist attraction recommendations in smart cities
JC Cepeda-Pacheco, MC Domingo - Neural Computing and Applications, 2022 - Springer
We propose a tourist attraction IoT-enabled deep learning-based recommendation system to
enhance tourist experience in a smart city. Travelers will enter details about their travels …
enhance tourist experience in a smart city. Travelers will enter details about their travels …
An edge intelligence empowered recommender system enabling cultural heritage applications
Recommender systems are increasingly playing an important role in our life, enabling users
to find “what they need” within large data collections and supporting a variety of applications …
to find “what they need” within large data collections and supporting a variety of applications …
A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization
M Davtalab, AA Alesheikh - Knowledge and Information Systems, 2021 - Springer
In recent years, point of interest (POI) recommendation has gained increasing attention all
over the world. POI recommendation plays an indispensable role in assisting people to find …
over the world. POI recommendation plays an indispensable role in assisting people to find …
Linked open data in location-based recommendation system on tourism domain: A survey
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 …
In the tourism domain, many studies are using linked open data to address the problem of …
A personalized POI route recommendation system based on heterogeneous tourism data and sequential pattern mining
Planning a personalized POI route before touring a new city is an important travel
preparation activity; however, it is a challenging and time-consuming task for tourists …
preparation activity; however, it is a challenging and time-consuming task for tourists …
A recommendation mechanism for under-emphasized tourist spots using topic modeling and sentiment analysis
With rapid advancements in internet applications, the growth rate of recommendation
systems for tourists has skyrocketed. This has generated an enormous amount of travel …
systems for tourists has skyrocketed. This has generated an enormous amount of travel …