Recommender systems: Techniques, applications, and challenges
Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …
for items that are most likely of interest to a particular user. In this introductory chapter, we …
[HTML][HTML] Blockchain-based recommender systems: Applications, challenges and future opportunities
Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
Adoption of robots and service automation by tourism and hospitality companies
This paper explores the current state and the potential adoption of service automation and
robots by tourist, travel and hospitality companies. Despite the huge advancements in social …
robots by tourist, travel and hospitality companies. Despite the huge advancements in social …
Tourism recommendation system based on semantic clustering and sentiment analysis
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 …
them on web and social platforms have made the decision-making process for selecting and …
News recommender systems–Survey and roads ahead
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …
newspapers or by navigating the sites of news aggregators. However, the abundance of …
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
The last decade witnessed tremendous developments in social media and e-democracy
technologies. A fundamental aspect in these paradigms is that the number of decision …
technologies. A fundamental aspect in these paradigms is that the number of decision …
Tendencies of technologies and platforms in smart cities: a state‐of‐the‐art review
P Chamoso, A González-Briones… - Wireless …, 2018 - Wiley Online Library
Technology is starting to play a key role in cities' urban sustainability plans. This is because
new technologies can provide them with robust solutions that are of benefit to citizens. Cities …
new technologies can provide them with robust solutions that are of benefit to citizens. Cities …
Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions
This study investigates the importance of consumer innovativeness in the context of drone
food delivery services by proposing that eight sub-dimensions of consumer innovativeness …
food delivery services by proposing that eight sub-dimensions of consumer innovativeness …
Hybrid recommender system for tourism based on big data and AI: A conceptual framework
K Al Fararni, F Nafis, B Aghoutane… - Big Data Mining and …, 2021 - ieeexplore.ieee.org
With the development of the Internet, technology, and means of communication, the
production of tourist data has multiplied at all levels (hotels, restaurants, transport, heritage …
production of tourist data has multiplied at all levels (hotels, restaurants, transport, heritage …
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 …