[HTML][HTML] Blockchain-based recommender systems: Applications, challenges and future opportunities
Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
K-means-based nature-inspired metaheuristic algorithms for automatic data clustering problems: Recent advances and future directions
AM Ikotun, MS Almutari, AE Ezugwu - Applied Sciences, 2021 - mdpi.com
K-means clustering algorithm is a partitional clustering algorithm that has been used widely
in many applications for traditional clustering due to its simplicity and low computational …
in many applications for traditional clustering due to its simplicity and low computational …
An improved grey wolf optimizer for solving engineering problems
MH Nadimi-Shahraki, S Taghian, S Mirjalili - Expert Systems with …, 2021 - Elsevier
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …
optimization and engineering design problems. This improvement is proposed to alleviate …
Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique
Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …
algorithms as it requires an efficient exploration for finding the promising region of the …
Movie recommendation system using sentiment analysis from microblogging data
Recommendation systems (RSs) have garnered immense interest for applications in e-
commerce and digital media. Traditional approaches in RSs include such as collaborative …
commerce and digital media. Traditional approaches in RSs include such as collaborative …
Social movie recommender system based on deep autoencoder network using Twitter data
H Tahmasebi, R Ravanmehr… - Neural Computing and …, 2021 - Springer
Recommender systems attempt to provide effective suggestions to each user based on their
interests and behaviors. These recommendations usually match the personal user …
interests and behaviors. These recommendations usually match the personal user …
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach
Grey wolf optimizer (GWO) is known as one of the recent popular metaheuristic algorithms
inspired from the social collaboration and team hunting activities of grey wolves in nature …
inspired from the social collaboration and team hunting activities of grey wolves in nature …
Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014–2017)
Today, finding a viable solution for any real world problem focusing on combinatorial of
problems is a crucial task. However, using optimisation techniques, a viable best solution for …
problems is a crucial task. However, using optimisation techniques, a viable best solution for …
Knowledge evolutionary process of Artificial intelligence in E-commerce: Main path analysis and science mapping analysis
X He, Y Liu - Expert Systems with Applications, 2024 - Elsevier
Artificial intelligence (AI) is the latest designing and interacting technology used to support
organizations in the competitive electronic commerce (E-commerce) context. The studies on …
organizations in the competitive electronic commerce (E-commerce) context. The studies on …
Hierarchy strengthened grey wolf optimizer for numerical optimization and feature selection
Grey wolf optimizer (GWO) is an efficient swarm intelligence algorithm for kinds of
optimization problems. However, GWO tends to be trapped in local optimum when solving …
optimization problems. However, GWO tends to be trapped in local optimum when solving …