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Design and Analysis of a Cluster-Based Intelligent Hybrid Recommendation System for E-Learning Applications

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Collaboration, Reputation and Recommender Systems in Social Web Search
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An Improved Recommender System for E-Learning Environments to Enhance Learning Capabilities of Learners
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Collaboration Analysis in Recommender Systems Using Social Networks
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Predicting Learning Characteristics in a Multiple Intelligence Based Tutoring System
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Individualizing Tutoring with Learning Style Based Feedback
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Ontology-Based Semantic Recommendation for Context-Aware E-Learning
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Analyzing User Modeling on Twitter for Personalized News Recommendations
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Movie Recommendation System Using Genome Tags and Content-Based Filtering
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K-modes Clustering
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E-Learning personalization based on hybrid recommendation strategy and learning style identification
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A personalized English learning recommender system for ESL students
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Personalized learning full-path recommendation model based on LSTM neural networks
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Providing recommendations in social networks by integrating local and global reputation
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New contextual collaborative filtering system with application to personalized healthy nutrition education
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Personal recommendation via modified collaborative filtering
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College Library Personalized Recommendation System Based on Hybrid Recommendation Algorithm
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Learning Analytics Framework for Educational Virtual Worlds
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Recommendation System Based on Complete Personalization
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Personalized Micro-Service Recommendation System for Online News
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Generating Items Recommendations by Fusing Content and User-Item based Collaborative Filtering
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A Machine Learning approach for automation of Resume Recommendation system
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Navigational support in lifelong learning: Enhancing effectiveness through indirect social navigation
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Personalized travel route recommendation using collaborative filtering based on GPS trajectories
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Effective e‐learning recommendation system based on self‐organizing maps and association mining
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Building a recommender agent for e-learning systems
inferredcites →https://doi.org/10.1109/contel.2015.7231205openalex-snapshot
Personalized multimedia content retrieval through relevance feedback techniques for enhanced user experience
inferredcites →https://doi.org/10.1109/fie.2012.6462246openalex-snapshot
A model for generating proactive context-aware recommendations in e-Learning systems
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inferredcites →https://doi.org/10.1109/iccci.2013.6466162openalex-snapshot
An ontology-based framework for context-aware adaptive e-learning system
inferredcites →https://doi.org/10.1109/iccic.2010.5705768openalex-snapshot
Learning style recognition using Artificial Neural Network for adaptive user interface in e-learning
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Mining sequential patterns
inferredcites →https://doi.org/10.1109/itce.2019.8646355openalex-snapshot
A Novel Algorithm for Course Learning Object Recommendation Based on Student Learning Styles
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
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inferredcites →https://doi.org/10.1109/tlt.2012.11openalex-snapshot
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
inferredcites →https://doi.org/10.1111/j.1365-2729.2009.00336.xopenalex-snapshot
Analysis of learners' navigational behaviour and their learning styles in an online course
inferredcites →https://doi.org/10.1111/j.1365-2729.2011.00439.xopenalex-snapshot
Quality in e‐learning – a conceptual framework based on experiences from three international benchmarking projects
inferredcites →https://doi.org/10.1111/j.1365-2729.2011.00440.xopenalex-snapshot
Quality in e‐learning: a framework for promoting and assuring quality in virtual institutions
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Learning Styles
inferredcites →https://doi.org/10.1111/j.2044-8279.1976.tb02305.xopenalex-snapshot
STYLES AND STRATEGIES OF LEARNING
inferredcites →https://doi.org/10.1145/192844.192905openalex-snapshot
GroupLens
inferredcites →https://doi.org/10.1145/223904.223931openalex-snapshot
Social information filtering
inferredcites →https://doi.org/10.1145/2507157.2508069openalex-snapshot
Dynamic generation of personalized hybrid recommender systems
inferredcites →https://doi.org/10.1145/2993236.2993249openalex-snapshot
A feature-based personalized recommender system for product-line configuration
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
inferredcites →https://doi.org/10.1145/336992.337035openalex-snapshot
Recommender systems in e-commerce
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1201/9781315396705openalex-snapshot
Big Data in Complex and Social Networks
inferredcites →https://doi.org/10.2298/csis081127001fopenalex-snapshot
The integration of learning object repositories and learning management systems
inferredcites →https://doi.org/10.2298/csis0902191dopenalex-snapshot
Applications GeoGebra into teaching some topics of mathematics at the college level
inferredcites →https://doi.org/10.2298/csis090608021kopenalex-snapshot
Integration of recommendations and adaptive hypermedia into java tutoring system
inferredcites →https://doi.org/10.25405/ncl.34086567openalex-snapshot
Should we be using Learning Styles? What research has to say to practice
inferredcites →https://doi.org/10.26599/tst.2018.9010118openalex-snapshot
Personalized real-time movie recommendation system: Practical prototype and evaluation
inferredcites →https://doi.org/10.3233/web-180394openalex-snapshot
State of the art of reputation-enhanced recommender systems
inferredcites →https://doi.org/10.3390/app9153141openalex-snapshot
A Hybrid Two-Phase Recommendation for Group-Buying E-commerce Applications
inferredcites →https://doi.org/10.3390/electronics9040546openalex-snapshot
Performance of Two Approaches of Embedded Recommender Systems
inferredcites →https://doi.org/10.3390/info10050155openalex-snapshot
Optimizing Parallel Collaborative Filtering Approaches for Improving Recommendation Systems Performance
inferredcites →https://doi.org/10.3390/math7080740openalex-snapshot
A Soft-Rough Set Based Approach for Handling Contextual Sparsity in Context-Aware Video Recommender Systems
inferredcites →https://doi.org/10.3390/math8030303openalex-snapshot
Complexity Analysis and Stochastic Convergence of Some Well-known Evolutionary Operators for Solving Graph Coloring Problem
inferredcites →https://doi.org/10.3390/math8071106openalex-snapshot
Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets
inferredcites →https://doi.org/10.3390/sym12020185openalex-snapshot
Design of an Unsupervised Machine Learning-Based Movie Recommender System
inferredcites →https://doi.org/10.4018/jdet.2006040102openalex-snapshot
A Web-Based Tutor for Java
inferredcites →https://doi.org/10.5120/1724-2326openalex-snapshot
A Dynamic Web Mining Framework for E-Learning Recommendations using Rough Sets and Association Rule Mining
inferredcites →https://doi.org/10.5121/ijcsit.2011.3314openalex-snapshot
E-Learning personalization based on Dynamic learners' preference
inferredcites →https://doi.org/10.5281/zenodo.1075231openalex-snapshot
Web Log Mining By An Improved Aprioriall Algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Student Satisfaction Classification Algorithm Using the Minority Synthetic Oversampling Technique
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Movie Recommender Model Using Machine Learning Approaches
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Analysis of Network Modeling for Real-world Recommender Systems
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A Linear-Time Algorithm to Find the Second Smallest Number
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Movie Recommendation System Modeling Using Machine Learning
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Studies on System Identification of Multiple Input Multiple Output (MIMO) Water Tank
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Classification and Analysis of Recommender Systems
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Movie Recommendation System using an Item-based Collaborative Filtering
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Create a Book Recommendation System using Collaborative Filtering
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Open-Source Datasets for Recommender Systems Analysis
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Graph Coloring on Bipartite Graphs
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State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning
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Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
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E-Learning Course Recommender System Using Collaborative Filtering Models
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Deep Learning Recommendations of E-Education Based on Clustering and Sequence
inferred← citeshttps://doi.org/10.3390/info12060232openalex-snapshot
A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions
inferred← citeshttps://doi.org/10.3390/info15100660openalex-snapshot
Recommender Systems Applications: Data Sources, Features, and Challenges
inferred← citeshttps://doi.org/10.3390/info16060512openalex-snapshot
Intelligent Teaching Recommendation Model for Practical Discussion Course of Higher Education Based on Naive Bayes Machine Learning and Improved k-NN Data Mining Algorithm
inferred← citeshttps://doi.org/10.3390/math11061355openalex-snapshot
Personalized Movie Recommendations Based on a Multi-Feature Attention Mechanism with Neural Networks
inferred← citeshttps://doi.org/10.3390/math9121392openalex-snapshot
Collaborative Co-Attention Network for Session-Based Recommendation
inferred← citeshttps://doi.org/10.3390/math9121420openalex-snapshot
Dynamic Graph Learning for Session-Based Recommendation
inferred← citeshttps://doi.org/10.3390/math9121427openalex-snapshot
A Fuzzy Recommendation System for the Automatic Personalization of Physical Rehabilitation Exercises in Stroke Patients
inferred← citeshttps://doi.org/10.3390/math9172129openalex-snapshot
Collaborative Knowledge-Enhanced Recommendation with Self-Supervisions
inferred← citeshttps://doi.org/10.3390/math9243215openalex-snapshot
Applications of Discrete Wavelet Transform for Feature Extraction to Increase the Accuracy of Monitoring Systems of Liquid Petroleum Products
inferred← citeshttps://doi.org/10.3390/s22218224openalex-snapshot
Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization
inferred← citeshttps://doi.org/10.3390/software3010004openalex-snapshot
Precision-Driven Product Recommendation Software: Unsupervised Models, Evaluated by GPT-4 LLM for Enhanced Recommender Systems
inferred← citeshttps://doi.org/10.3390/sym13112040openalex-snapshot
Artificial Intelligence Methodologies for Data Management
inferred← citeshttps://doi.org/10.3390/telecom4010008openalex-snapshot
Machine Learning Based Recommendation System for Web-Search Learning
inferred← citeshttps://doi.org/10.34190/ejel.19.5.2482openalex-snapshot
Recommendation Systems on E-Learning and Social Learning: A Systematic Review
inferred← citeshttps://doi.org/10.37943/24vewa2615openalex-snapshot
INTERFACE DESIGN OF AN INTELLIGENT INTERACTIVE LEARNING SYSTEM
inferred← citeshttps://doi.org/10.4018/ijdet.382815openalex-snapshot
Design of Online Teaching Platform for Multi-mode Learning with Dual-course System
inferred← citeshttps://doi.org/10.4018/ijmbl.413108openalex-snapshot
Application of an AI-Based Personalized Matching Recommendation System of Visual Communication Design Course Resources
inferred← citeshttps://doi.org/10.4018/ijoci.312225openalex-snapshot
New Recommendation System Based on Students' Engagement Prediction Using CNN to Optimize E-Learning
inferred← citeshttps://doi.org/10.47191/ijcsrr/v5-i4-45openalex-snapshot
Solving A ML Problem Using The Grossone
inferred← citeshttps://doi.org/10.47852/bonviewjcce2202212openalex-snapshot
Cost Analysis of Solar Water Pumping System for Small Town Water Supply
inferred← citeshttps://doi.org/10.56578/esm010303openalex-snapshot
Ontology and Machine Learning-Based Recommender System for Teacher Resource Personalization
inferred← citeshttps://doi.org/10.62411/jcta.12720openalex-snapshot
Explainable Bayesian Network Recommender for Personalized University Program Selection
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