A systematic review and research perspective on recommender systems
Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …
widespread owing to the changing habits of computer users, personalization trends, and …
Artificial intelligence and big data in tourism: a systematic literature review
D Samara, I Magnisalis, V Peristeras - Journal of Hospitality and …, 2020 - emerald.com
Purpose This paper aims to research, identify and discuss the benefits and overall role of big
data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent …
data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent …
Intelligent tourism recommender systems: A survey
Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
An extensive study on the evolution of context-aware personalized travel recommender systems
S Renjith, A Sreekumar, M Jathavedan - Information Processing & …, 2020 - Elsevier
Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …
of human life so as travel recommendations, though the early form of recommendations …
An intelligent data analysis for recommendation systems using machine learning
In recent times, selection of a suitable hotel location and reservation of accommodation have
become a critical issue for the travelers. The online hotel search has been increased at a …
become a critical issue for the travelers. The online hotel search has been increased at a …
Recommender systems: an overview, research trends, and future directions
Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …
users to find items online by providing suggestions that closely match their interest. This …
Towards a social and context-aware mobile recommendation system for tourism
R Colomo-Palacios, FJ García-Peñalvo… - Pervasive and Mobile …, 2017 - Elsevier
Loyalty in tourism is one of the main concerns for tourist organizations and researchers
alike. Recently, technology in general and CRM and social networks in particular have been …
alike. Recently, technology in general and CRM and social networks in particular have been …
An enhanced recommender system based on heterogeneous graph link prediction
Graph-based data has gained popularity in various applications, including social networks,
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems
I Viktoratos, A Tsadiras, N Bassiliades - Expert systems with applications, 2018 - Elsevier
Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …
consumption recommendations to their customers, relevant to their contextual situation. To …
Ontology-based annotation and retrieval of services in the cloud
MÁ Rodríguez-García, R Valencia-García… - Knowledge-based …, 2014 - Elsevier
Cloud computing is a technological paradigm that permits computing services to be offered
over the Internet. This new service model is closely related to previous well-known …
over the Internet. This new service model is closely related to previous well-known …