Recent developments in recommender systems: A survey
In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …
comprehensively summarized. The objective of this study is to provide an overview of the …
Educational technology: Exploring the convergence of technology and pedagogy through mobility, interactivity, AI, and learning tools
A Alam, A Mohanty - Cogent Engineering, 2023 - Taylor & Francis
Efforts at the intersection of technology and pedagogy converge upon four pivotal axes that
collectively delineate the future educational landscape. These axes, namely mobility …
collectively delineate the future educational landscape. These axes, namely mobility …
E-learning course recommender system using collaborative filtering models
e-Learning is a sought-after option for learners during pandemic situations. In e-Learning
platforms, there are many courses available, and the user needs to select the best option for …
platforms, there are many courses available, and the user needs to select the best option for …
A comprehensive survey on privacy-preserving techniques in federated recommendation systems
Big data is a rapidly growing field, and new developments are constantly emerging to
address various challenges. One such development is the use of federated learning for …
address various challenges. One such development is the use of federated learning for …
Enhancing student performance prediction on learnersourced questions with sgnn-llm synergy
Learnersourcing offers great potential for scalable education through student content
creation. However, predicting student performance on learnersourced questions, which is …
creation. However, predicting student performance on learnersourced questions, which is …
A comprehensive survey on deep learning techniques in educational data mining
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …
the power of computational techniques to analyze educational data. With the increasing …
Investigating the use of deep learning and implicit feedback in K12 educational recommender systems
SM Bhatt, W Van Den Noortgate… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recommender systems are increasingly being used in university or online education.
However, recommender systems still have not found major usage in K12 education. This …
However, recommender systems still have not found major usage in K12 education. This …
Understanding user intent modeling for conversational recommender systems: a systematic literature review
User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …
personalized responses. The substantial volume of research (exceeding 13,000 …
A Federated Deep Learning Framework for Privacy-Preserving Consumer Electronics Recommendations
Recommender systems (RSs) have proven to be highly effective in guiding consumers
towards well-informed purchase decisions for electronics. These systems can provide …
towards well-informed purchase decisions for electronics. These systems can provide …
[PDF][PDF] Recommender systems: models, challenges and opportunities
MA Hodovychenko… - Herald of Advanced …, 2023 - scholar.archive.org
The purpose of this study is to provide a comprehensive overview of the latest developments
in the field of recommender systems. In order to provide an overview of the current state of …
in the field of recommender systems. In order to provide an overview of the current state of …