A systematic review: machine learning based recommendation systems for e-learning
SS Khanal, PWC Prasad, A Alsadoon… - Education and Information …, 2020 - Springer
The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …
difficult to locate specific information from data pools. Personalization systems attempt to …
[HTML][HTML] Learning from patient safety incidents in the emergency department: a systematic review
S Amaniyan, BO Faldaas, PA Logan… - The Journal of …, 2020 - Elsevier
Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …
care settings, including the emergency department. There is a need to understand what …
Collaborative APIs recommendation for artificial intelligence of things with information fusion
A privacy-preserving protocol for continuous and dynamic data collection in IoT enabled mobile app recommendation system (MARS)
User trust is an important factor in the success of recommendation systems, including
Internet of Things (IoT)-based recommendation systems. However, such trust can be eroded …
Internet of Things (IoT)-based recommendation systems. However, such trust can be eroded …
An approach to compute the scope of a social object in a Multi-IoT scenario
In the last few years, classical social networking is turning into the more complex social
internetworking and is extending from human users to objects. Indeed, objects are becoming …
internetworking and is extending from human users to objects. Indeed, objects are becoming …
Creating personalized recommendations in a smart community by performing user trajectory analysis through social internet of things deployment
Despite advancements in the Internet of Things (IoT) and social networks, develo** an
intelligent service discovery and composition framework in the Social IoT (SIoT) domain …
intelligent service discovery and composition framework in the Social IoT (SIoT) domain …
NLP-based customer loyalty improvement recommender system (CLIRS2)
KA Tarnowska, Z Ras - Big Data and Cognitive Computing, 2021 - mdpi.com
Structured data on customer feedback is becoming more costly and timely to collect and
organize. On the other hand, unstructured opinionated data, eg, in the form of free-text …
organize. On the other hand, unstructured opinionated data, eg, in the form of free-text …