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 …
Numerous number of tourism attractions along with a huge amount of information about them on web and social platforms have made the decision-making process for selecting and …
Recommendation systems are gaining increasing popularity in many application areas like e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
Today, exploiting sentiment analysis has become popular in designing recommender systems in various fields, including the restaurant and food area. However, most of the …
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 …
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 …
Abstract Web 2.0 and its services, such as social networks, have significantly influenced various businesses, including e-commerce. As a result, we face a new generation of e …
Intelligent data handling techniques are beneficial for users; to store, process, analyze and access the vast amount of information produced by electronic and automated devices. The …
Recent advances in information and communication technologies (ICTs) have fostered the development of new methods and tools for exploring the increasingly large amounts of data …