The use of machine learning algorithms in recommender systems: A systematic review
I Portugal, P Alencar, D Cowan - Expert Systems with Applications, 2018 - Elsevier
Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …
recommendations. Recently, these systems have been using machine learning algorithms …
Personalized content extraction and text classification using effective web scraping techniques
Web scraping is a technique to extract information from various web documents
automatically. It retrieves the related contents based on the query, aggregates and …
automatically. It retrieves the related contents based on the query, aggregates and …
Blockchain network based topic mining process for cognitive manufacturing
Cognitive manufacturing has brought about an innovative change to the 4th industrial
revolution based technology in combination with blockchain distributed ledger, which …
revolution based technology in combination with blockchain distributed ledger, which …
Social mining-based clustering process for big-data integration
With the development of information technology, ambient intelligence has been combined
with various application areas so as to create new convergence service industries. Through …
with various application areas so as to create new convergence service industries. Through …
Item recommendation based on context-aware model for personalized u-healthcare service
A personalized service in the ubiquitous environment is to provide services or items, which
reflect personal tastes, attitudes, and contexts. It is impossible to reflect the context …
reflect personal tastes, attitudes, and contexts. It is impossible to reflect the context …
Ambient context-based modeling for health risk assessment using deep neural network
Context computing is a branch of ambient intelligence (AmI) research, which has been
rapidly emerging in the support of intelligent smart health platform solution. To develop …
rapidly emerging in the support of intelligent smart health platform solution. To develop …
An improved switching hybrid recommender system using naive bayes classifier and collaborative filtering
M Ghazanfar, A Prugel-Bennett - 2010 - eprints.soton.ac.uk
Recommender Systems apply machine learning and data mining techniques for filtering
unseen information and can predict whether a user would like a given resource. To date a …
unseen information and can predict whether a user would like a given resource. To date a …
Multimedia recommendation using Word2Vec-based social relationship mining
JW Baek, KY Chung - Multimedia Tools and Applications, 2021 - Springer
This study proposes the multimedia recommendation method using Word2Vec-based social
relationship mining. This is to analyze users with a similar tendency on the basis of the …
relationship mining. This is to analyze users with a similar tendency on the basis of the …
Knowledge-based hybrid decision model using neural network for nutrition management
JC Kim, K Chung - Information Technology and Management, 2020 - Springer
With the change in their social environment and life patterns, the eating habits of modern
people have become more diverse. Eating habits are closely related to health, and diet …
people have become more diverse. Eating habits are closely related to health, and diet …
Deep learning-based evolutionary recommendation model for heterogeneous big data integration
H Yoo, K Chung - KSII Transactions on Internet and Information …, 2020 - koreascience.kr
This study proposes a deep learning-based evolutionary recommendation model for
heterogeneous big data integration, for which collaborative filtering and a neural-network …
heterogeneous big data integration, for which collaborative filtering and a neural-network …