Recommendation agents and information sharing through social media for coronavirus outbreak
The novel outbreak of coronavirus disease (COVID-19) was an unexpected event for tourism
in the world as well as tourism in the Netherlands. In this situation, the travelers' decision …
in the world as well as tourism in the Netherlands. In this situation, the travelers' decision …
Ontology-based recommender system in higher education
C Obeid, I Lahoud, H El Khoury… - Companion proceedings of …, 2018 - dl.acm.org
Academic advising is limited in its ability to assist students in identifying academic pathways.
Selecting a major and a university is a challenging process rife with anxiety. Students at high …
Selecting a major and a university is a challenging process rife with anxiety. Students at high …
Novel predictive model to improve the accuracy of collaborative filtering recommender systems
The recommendation problem involves the prediction of a set of items that maximize the
utility for users. Numerous factors, such as the filtering method and similarity measure, affect …
utility for users. Numerous factors, such as the filtering method and similarity measure, affect …
Knowledge-based recommender systems: overview and research directions
Recommender systems are decision support systems that help users to identify items of
relevance from a potentially large set of alternatives. In contrast to the mainstream …
relevance from a potentially large set of alternatives. In contrast to the mainstream …
An ontology for modeling cultural heritage knowledge in urban tourism
Urban tourism information available on Internet has been of enormous relevance to motivate
the tourism in many countries. There exist many applications focused on promoting and …
the tourism in many countries. There exist many applications focused on promoting and …
On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study
RS Pereira, C Di Sipio, M De Sanctis… - arXiv preprint arXiv …, 2024 - arxiv.org
Travel Recommender Systems TRSs have been proposed to ease the burden of choice in
the travel domain by providing valuable suggestions based on user preferences Despite the …
the travel domain by providing valuable suggestions based on user preferences Despite the …
Improving collaborative filtering recommender systems using semantic information
The virtual world is overflowing with digital items which makes user's experience when
searching for, selecting and buying items harder. The use of a recommender system can …
searching for, selecting and buying items harder. The use of a recommender system can …
A novel hybrid recommender system approach for student academic advising named COHRS, supported by case-based reasoning and ontology
C Obeid, C Lahoud, KH El… - Computer Science and …, 2022 - doiserbia.nb.rs
The recent development of theWorldWideWeb, information, and communications technology
have transformed the world and moved us into the data era resulting in an overload of data …
have transformed the world and moved us into the data era resulting in an overload of data …
Semantically enhanced machine learning approach to recommend e-learning content
E-learning platforms contain a large number of heterogeneous resources of knowledge. In
current e-learning systems, learners spend a lot of time and effort trying to find relevant …
current e-learning systems, learners spend a lot of time and effort trying to find relevant …
Course recommendation based on query classification approach
This article describes how with a non-formal education, a scholar has to choose courses
among various domains to meet the research aims. In spite of this, the availability of large …
among various domains to meet the research aims. In spite of this, the availability of large …