Evaluating collaborative filtering recommender algorithms: a survey
Due to the explosion of available information on the Internet, the need for effective means of
accessing and processing them has become vital for everyone. Recommender systems …
accessing and processing them has become vital for everyone. Recommender systems …
A deep learning based trust-and tag-aware recommender system
Recommender systems are popular tools used in many applications, such as e-commerce, e-
learning, and social networks to help users select their desired items. Collaborative filtering …
learning, and social networks to help users select their desired items. Collaborative filtering …
Time-aware recommender systems: A comprehensive survey and quantitative assessment of literature
R Alabduljabbar, M Alshareef, N Alshareef - IEEE Access, 2023 - ieeexplore.ieee.org
Recommender systems (RS) are among the most widely used applications in data mining
and machine-learning technologies. These technologies recommend relevant products to …
and machine-learning technologies. These technologies recommend relevant products to …
A reliable deep representation learning to improve trust-aware recommendation systems
Deep neural networks have been extensively employed in many applications such as
natural language processing and computer vision. They have attracted a lot of attention in …
natural language processing and computer vision. They have attracted a lot of attention in …
Big graphs: challenges and opportunities
W Fan - Proceedings of the VLDB Endowment, 2022 - dl.acm.org
Big data is typically characterized with 4V's: Volume, Velocity, Variety and Veracity. When it
comes to big graphs, these challenges become even more staggering. Each and every of …
comes to big graphs, these challenges become even more staggering. Each and every of …
X-ray image based COVID-19 detection using evolutionary deep learning approach
SMJ Jalali, M Ahmadian, S Ahmadian… - Expert Systems with …, 2022 - Elsevier
Radiological methodologies, such as chest x-rays and CT, are widely employed to help
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
A hybrid recommendation system based on profile expansion technique to alleviate cold start problem
F Tahmasebi, M Meghdadi, S Ahmadian… - Multimedia Tools and …, 2021 - Springer
Recommender systems are one of the information filtering tools which can be employed to
find interest items of users. Collaborative filtering is one of the recommendation methods to …
find interest items of users. Collaborative filtering is one of the recommendation methods to …
A social recommender system based on reliable implicit relationships
Recommender systems attempt to suggest information that is of potential interest to users
helping them to quickly find information relevant to them. In addition to historical user–item …
helping them to quickly find information relevant to them. In addition to historical user–item …
RDERL: Reliable deep ensemble reinforcement learning-based recommender system
Recommender systems (RSs) have been employed for many real-world applications
including search engines, social networks, and information retrieval systems as powerful …
including search engines, social networks, and information retrieval systems as powerful …
Improving itinerary recommendations for tourists through metaheuristic algorithms: an optimization proposal
In recent years, recommender systems have been used as a solution to support tourists with
recommendations oriented to maximize the entertainment value of visiting a tourist …
recommendations oriented to maximize the entertainment value of visiting a tourist …