A review of content-based and context-based recommendation systems
In our work, we have presented two widely used recommendation systems. We have
presented a context-aware recommender system to filter the items associated with user's …
presented a context-aware recommender system to filter the items associated with user's …
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 …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …
has been also important to consider the trade-off between the accuracy and the computation …
A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining
In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …
learners. However, due to information overload, many learners are experiencing difficulties …
An ontology-driven personalized food recommendation in IoT-based healthcare system
V Subramaniyaswamy, G Manogaran… - The Journal of …, 2019 - Springer
The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …
recommender system (RS) to help users in their daily life. An effective personalized …
Big data in action: An overview of big data studies in tourism and hospitality literature
Tourism research has marched into the big data arena and brought remarkable
developments. Despite the promising role of big data and increasing volume of research, it …
developments. Despite the promising role of big data and increasing volume of research, it …
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 …
A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS
In order to improve the tourist experience, recommender systems are used to offer
personalized information for online users. The hotel industry is a leading stakeholder in the …
personalized information for online users. The hotel industry is a leading stakeholder in the …
User profiling approaches for demographic recommender systems
MYH Al-Shamri - Knowledge-Based Systems, 2016 - Elsevier
Many of our daily life decisions rely on demographic data, which is a good indicator for
closeness of people. However, the lack of these data for many online systems let them …
closeness of people. However, the lack of these data for many online systems let them …