A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
[HTML][HTML] A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …
Enhancing activity prediction models in drug discovery with the ability to understand human language
Activity and property prediction models are the central workhorses in drug discovery and
materials sciences, but currently, they have to be trained or fine-tuned for new tasks. Without …
materials sciences, but currently, they have to be trained or fine-tuned for new tasks. Without …
Collaborative filtering and deep learning based recommendation system for cold start items
Recommender system is a specific type of intelligent systems, which exploits historical user
ratings on items and/or auxiliary information to make recommendations on items to the …
ratings on items and/or auxiliary information to make recommendations on items to the …
[HTML][HTML] Health recommender systems: systematic review
Background: Health recommender systems (HRSs) offer the potential to motivate and
engage users to change their behavior by sharing better choices and actionable knowledge …
engage users to change their behavior by sharing better choices and actionable knowledge …
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
Recommendation systems are often challenged by the existence of cold-start items for which
no previous rating is available. The standard content-based or collaborative-filtering …
no previous rating is available. The standard content-based or collaborative-filtering …
Hybrid recommender systems: A systematic literature review
Recommender systems are software tools used to generate and provide suggestions for
items and other entities to the users by exploiting various strategies. Hybrid recommender …
items and other entities to the users by exploiting various strategies. Hybrid recommender …
Music recommendation via hypergraph embedding
V La Gatta, V Moscato, M Pennone… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
In recent years, we have witnessed an ever wider spread of multimedia streaming platforms
(eg, Netflix, Spotify, and Amazon). Hence, it has become more and more essential to provide …
(eg, Netflix, Spotify, and Amazon). Hence, it has become more and more essential to provide …
Context Aware Recommendation Systems: A review of the state of the art techniques
S Kulkarni, SF Rodd - Computer Science Review, 2020 - Elsevier
Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …
A survey on trust models in heterogeneous networks
Heterogeneous networks (HetNets) merge different types of networks into an integrated
network system, which has become a hot research area in recent years towards next …
network system, which has become a hot research area in recent years towards next …