Fifteen years of recommender systems research in higher education: Current trends and future direction

V Maphosa, M Maphosa - Applied Artificial Intelligence, 2023 - Taylor & Francis
Artificial intelligence applications have revolutionized business, industry, and education.
Applications developed for other sectors are being adapted for education. The amount of …

Multimodal trust based recommender system with machine learning approaches for movie recommendation

SS Choudhury, SN Mohanty, AK Jagadev - International Journal of …, 2021 - Springer
Recommender system (RS) are a type of suggestion to the information overload problem
suffered by user of websites that allow the rating of particular item. The movie RS are one of …

Content and Popularity-Based Music Recommendation System

M Garanayak, SK Nayak, K Sangeetha… - International Journal of …, 2022 - igi-global.com
The future of many modern technologies includes machine learning and deep learning
methodologies. One of the prominent applications of these technologies is the recommender …

Deep auto‐encoder based clustering algorithm for graph‐based web page recommendation system

JK Alagappan, SP Victor - Concurrency and Computation …, 2023 - Wiley Online Library
Web‐page recommendation system (RS) plays a major role in smart web systems. The core
technology is the RS, which helps users find their interests or discover item preferences …

Novel clustering-based web service recommendation framework

PB Pandharbale, SN Mohanty… - International Journal of …, 2021 - igi-global.com
Normally web services are classified originate in on the quality of service, wherever the term
quality is not absolute and it is a relative term. The quality of web services is measured or …

[PDF][PDF] Ontology and machine learning-based recommender system for teacher resource personalization

SE Ayman, AA El Rejal - Education Science and Management, 2023 - researchgate.net
Teachers face challenges when conducting their jobs (stress, work overload, lack of
resources, lack of time, etc.), which may lead them to psychological problems. With the …

Classyfying Students Decision Making Ability Using K-Nearest Neighbor for Determining Students Supplementary Learning

G Giyanti, R Oktaviyanthi… - BAREKENG: Jurnal Ilmu …, 2023 - ojs3.unpatti.ac.id
Mathematical decision-making ability is a complex cognitive process of finding problems
solutions which is continuously explored and optimized for undergraduate students. The …

FESSARec: explaining course recommendations using fuzzy expert system and self-attention

MP Shareef, B Roslind… - International Journal of …, 2024 - inderscienceonline.com
Recommendations generated by a model become more convincing when the system is
capable of explaining the rationale behind the recommendations with respect to various …

Recommender systems for the social networking context for collaborative filtering and content-based approaches

RSML Patibandla, VL Narayana, AP Gopi… - Recommender …, 2021 - taylorfrancis.com
In helping internet users to locate useful information by recommending possible interesting
information, Recommender Systems play an important role. Due to the perceived …

[PDF][PDF] UTKARSH PRAVIND, PALAK PORWAL, ABHAYA KUMAR SAHOO AND CHITTARANJAN PRADHAN

K SAHOO - RECOMMENDER SYSTEMS - academia.edu
In this chapter, we will introduce a number of different machine learning algorithms, such as
K-Nearest Neighbors (KNN), SVM and Random Forest. All of these algorithms use …