Fifteen years of recommender systems research in higher education: Current trends and future direction
Artificial intelligence applications have revolutionized business, industry, and education.
Applications developed for other sectors are being adapted for education. The amount of …
Applications developed for other sectors are being adapted for education. The amount of …
HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation
MT Ramakrishna, VK Venkatesan, R Bhardwaj… - Electronics, 2023 - mdpi.com
Today, people frequently communicate through interactions and exchange knowledge over
the social web in various formats. Social connections have been substantially improved by …
the social web in various formats. Social connections have been substantially improved by …
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 …
A novel hybrid recommender system for the tourism domain
G Chalkiadakis, I Ziogas, M Koutsmanis, E Streviniotis… - Algorithms, 2023 - mdpi.com
In this paper, we develop a novel hybrid recommender system for the tourism domain, which
combines (a) a Bayesian preferences elicitation component which operates by asking the …
combines (a) a Bayesian preferences elicitation component which operates by asking the …
A thematic travel recommendation system using an augmented big data analytical model
Tour planning has become both challenging and time-consuming due to the huge amount of
information available online and the variety of options to choose from. This is more so as …
information available online and the variety of options to choose from. This is more so as …
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
The user purchase behaviors are mainly influenced by their intentions (eg, buying clothes
for decoration, buying brushes for painting, etc.). Modeling a user's latent intention can …
for decoration, buying brushes for painting, etc.). Modeling a user's latent intention can …
The elements of visual art recommendation: Learning latent semantic representations of paintings
Artwork recommendation is challenging because it requires understanding how users
interact with highly subjective content, the complexity of the concepts embedded within the …
interact with highly subjective content, the complexity of the concepts embedded within the …
Semantic models for IoT sensing to infer environment–wellness relationships
Every time an Internet of Things (IoT) solution is deployed, every time a smartphone owner
connects her/his wireless device to a wearable activity-tracker, every time groups of citizens …
connects her/his wireless device to a wearable activity-tracker, every time groups of citizens …
AIRA: An Intelligent Recommendation Agent Application for Movies
Abstract An intelligent Recommendation App has been developed to assist caregivers. This
project's primary objective is to assist parents in determining whether a particular …
project's primary objective is to assist parents in determining whether a particular …
Food choice and the epistemic value of the consumption of recommender systems: the case of Yuka's perceived value in France
ABSTRACT Food Recommender Systems (RecSys) are innovative knowledge systems that
inform consumers of food choices according to criteria, including nutritional content, health …
inform consumers of food choices according to criteria, including nutritional content, health …