A systematic review of healthcare recommender systems: Open issues, challenges, and techniques
M Etemadi, SB Abkenar, A Ahmadzadeh… - Expert Systems with …, 2023 - Elsevier
Background The maintenance of health through prevention, diagnosis, and treatment of
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
illnesses, injuries, and other mental and physical impairments in people is called healthcare …
Adaptive knn-based extended collaborative filtering recommendation services
In the current era of e-commerce, users are overwhelmed with countless products, making it
difficult to find relevant items. Recommendation systems generate suggestions based on …
difficult to find relevant items. Recommendation systems generate suggestions based on …
Heuristic recommendation technique in Internet of Things featuring swarm intelligence approach
A Forestiero - Expert Systems with Applications, 2022 - Elsevier
In smart environments, traditional information management approaches are often unsuitable
to tackle with the needed elaborations due to the amount and the high dynamicity of entities …
to tackle with the needed elaborations due to the amount and the high dynamicity of entities …
Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis
Collaborative Filtering (CF) has intrigued several researchers whose goal is to enhance
Recommender System's performance by mitigating their drawbacks. CF's common idea is to …
Recommender System's performance by mitigating their drawbacks. CF's common idea is to …
A comprehensive review of recommender systems: Transitioning from theory to practice
Recommender Systems (RS) play an integral role in enhancing user experiences by
providing personalized item suggestions. This survey reviews the progress in RS inclusively …
providing personalized item suggestions. This survey reviews the progress in RS inclusively …
Context aware recommender systems: A novel approach based on matrix factorization and contextual bias
M Casillo, BB Gupta, M Lombardi, A Lorusso… - Electronics, 2022 - mdpi.com
In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …
crucial. Recommender Systems have this aim. These have evolved further through the use …
CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries
Unemployment constitutes one of the major problems in developing countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …
such as unavailable skills and the proliferation of unskilled workers being cited as main …
Comparative study of recommender system approaches and movie recommendation using collaborative filtering
The increasing demand for personalized information has resulted in the development of the
Recommender System (RS). RS has been widely utilized and broadly studied to suggest the …
Recommender System (RS). RS has been widely utilized and broadly studied to suggest the …
Improving group recommendation using deep collaborative filtering approach
The recommender system's objective is to recommend items to users. Providing
personalized suggestions to users is a challenging task. The traditional recommendation …
personalized suggestions to users is a challenging task. The traditional recommendation …
DeepNNMF: deep nonlinear non-negative matrix factorization to address sparsity problem of collaborative recommender system
A recommender system (RS) is a data filtering technique that suggests the appropriate
information to the end-user. Collaborative filtering is the most frequently deployed algorithm …
information to the end-user. Collaborative filtering is the most frequently deployed algorithm …