Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
E Zio - Reliability Engineering & System Safety, 2022 - Elsevier
We are performing the digital transition of industry, living the 4th industrial revolution,
building a new World in which the digital, physical and human dimensions are interrelated in …
building a new World in which the digital, physical and human dimensions are interrelated in …
A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining
In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …
learners. However, due to information overload, many learners are experiencing difficulties …
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 …
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data
The recommender systems are recently becoming more significant in the age of rapid
development of the Internet technology due to their ability in making a decision to users on …
development of the Internet technology due to their ability in making a decision to users on …
A hybrid recommender system for e-learning based on context awareness and sequential pattern mining
The rapid evolution of the Internet has resulted in the availability of huge volumes of online
learning resources on the web. However, many learners encounter difficulties in retrieval of …
learning resources on the web. However, many learners encounter difficulties in retrieval of …
An attention-based deep learning method for solving the cold-start and sparsity issues of recommender systems
Matrix Factorization is a successful approach for generating an effective recommender
system. However, most existing matrix factorization methods suffer from the sparsity and cold …
system. However, most existing matrix factorization methods suffer from the sparsity and cold …
An ontology-based hybrid e-learning content recommender system for alleviating the cold-start problem
J Jeevamol, VG Renumol - Education and Information Technologies, 2021 - Springer
An e-learning recommender system (RS) aims to generate personalized recommendations
based on learner preferences and goals. The existing RSs in the e-learning domain still …
based on learner preferences and goals. The existing RSs in the e-learning domain still …
A survey of attack detection approaches in collaborative filtering recommender systems
Nowadays, due to the increasing amount of data, the use of recommender systems has
increased. Therefore, the quality of the recommendations for the users of these systems is …
increased. Therefore, the quality of the recommendations for the users of these systems is …
TCARS: Time-and community-aware recommendation system
With the abundance of information produced by users on items (eg, purchase or rating
histories), recommender systems are a major ingredient of online systems such as e-stores …
histories), recommender systems are a major ingredient of online systems such as e-stores …
Singular value decomposition based recommendation using imputed data
Among widely used recommendation methods, singular value decomposition (SVD) based
approaches are the most successful ones. Although SVD-based methods are effective, they …
approaches are the most successful ones. Although SVD-based methods are effective, they …