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Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_17openalex-snapshot
Collaboration, Reputation and Recommender Systems in Social Web Search
inferredcites →https://doi.org/10.1007/978-3-540-30104-2_11openalex-snapshot
Collaboration Analysis in Recommender Systems Using Social Networks
inferredcites →https://doi.org/10.1007/978-3-642-13287-2openalex-snapshot
Music Recommendation and Discovery
inferredcites →https://doi.org/10.1007/978-981-10-8360-0_8openalex-snapshot
Movie Recommendation System Using Genome Tags and Content-Based Filtering
inferredcites →https://doi.org/10.1007/s00530-017-0539-8openalex-snapshot
A content-based recommendation algorithm for learning resources
inferredcites →https://doi.org/10.1007/s00799-015-0156-0openalex-snapshot
Research-paper recommender systems: a literature survey
inferredcites →https://doi.org/10.1007/s10115-008-0159-xopenalex-snapshot
“Best K”: critical clustering structures in categorical datasets
inferredcites →https://doi.org/10.1007/s10115-014-0779-2openalex-snapshot
A probabilistic model to resolve diversity–accuracy challenge of recommendation systems
inferredcites →https://doi.org/10.1007/s10586-017-1160-5openalex-snapshot
An efficient personalized trust based hybrid recommendation (TBHR) strategy for e-learning system in cloud computing
inferredcites →https://doi.org/10.1007/s11042-016-4209-1openalex-snapshot
A holistic approach for personalization, relevance feedback & recommendation in enriched multimedia content
inferredcites →https://doi.org/10.1007/s13369-017-2686-9openalex-snapshot
Solution to Graph Coloring Using Genetic and Tabu Search Procedures
inferredcites →https://doi.org/10.1016/j.aci.2020.03.001openalex-snapshot
Autonomous recommender system architecture for virtual learning environments
inferredcites →https://doi.org/10.1016/j.compedu.2010.11.001openalex-snapshot
E-Learning personalization based on hybrid recommendation strategy and learning style identification
inferredcites →https://doi.org/10.1016/j.dss.2015.03.008openalex-snapshot
Recommender system application developments: A survey
inferredcites →https://doi.org/10.1016/j.eswa.2009.09.046openalex-snapshot
Combination of Web page recommender systems
inferredcites →https://doi.org/10.1016/j.eswa.2016.09.019openalex-snapshot
A collaborative filtering method for music recommendation using playing coefficients for artists and users
inferredcites →https://doi.org/10.1016/j.eswa.2019.113149openalex-snapshot
Combining novelty and popularity on personalised recommendations via user profile learning
inferredcites →https://doi.org/10.1016/j.ins.2017.07.021openalex-snapshot
A general and effective diffusion-based recommendation scheme on coupled social networks
inferredcites →https://doi.org/10.1016/j.is.2018.07.002openalex-snapshot
Providing recommendations in social networks by integrating local and global reputation
inferredcites →https://doi.org/10.1016/j.jcss.2014.12.029openalex-snapshot
An effective recommender system by unifying user and item trust information for B2B applications
inferredcites →https://doi.org/10.1016/j.jksuci.2020.04.012openalex-snapshot
New contextual collaborative filtering system with application to personalized healthy nutrition education
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1016/j.knosys.2013.11.006openalex-snapshot
A new user similarity model to improve the accuracy of collaborative filtering
inferredcites →https://doi.org/10.1016/j.knosys.2015.03.001openalex-snapshot
A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.025openalex-snapshot
Fast algorithms to evaluate collaborative filtering recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2016.08.014openalex-snapshot
A survey of serendipity in recommender systems
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.076openalex-snapshot
Multi-Objective Ranked Bandits for Recommender Systems
inferredcites →https://doi.org/10.1016/j.neucom.2018.05.049openalex-snapshot
Attention based collaborative filtering
inferredcites →https://doi.org/10.1016/j.physa.2008.10.010openalex-snapshot
Personal recommendation via modified collaborative filtering
inferredcites →https://doi.org/10.1016/j.physa.2016.02.021openalex-snapshot
Network-based recommendation algorithms: A review
inferredcites →https://doi.org/10.1016/j.physa.2016.05.046openalex-snapshot
Recent developments in affective recommender systems
inferredcites →https://doi.org/10.1016/j.physa.2017.04.041openalex-snapshot
Personalized recommendation via unbalance full-connectivity inference
inferredcites →https://doi.org/10.1016/j.physleta.2015.09.019openalex-snapshot
The effect of heterogeneous dynamics of online users on information filtering
inferredcites →https://doi.org/10.1016/j.procir.2019.04.126openalex-snapshot
College Library Personalized Recommendation System Based on Hybrid Recommendation Algorithm
inferredcites →https://doi.org/10.1016/j.procs.2016.05.379openalex-snapshot
Recommendation System Based on Complete Personalization
inferredcites →https://doi.org/10.1016/j.procs.2019.11.039openalex-snapshot
Personalized Micro-Service Recommendation System for Online News
inferredcites →https://doi.org/10.1016/j.procs.2020.03.215openalex-snapshot
Generating Items Recommendations by Fusing Content and User-Item based Collaborative Filtering
inferredcites →https://doi.org/10.1016/j.procs.2020.03.284openalex-snapshot
A Machine Learning approach for automation of Resume Recommendation system
inferredcites →https://doi.org/10.1023/a:1009769707641openalex-snapshot
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
inferredcites →https://doi.org/10.1038/srep06140openalex-snapshot
Uncovering the information core in recommender systems
inferredcites →https://doi.org/10.1073/pnas.1000488107openalex-snapshot
Solving the apparent diversity-accuracy dilemma of recommender systems
inferredcites →https://doi.org/10.1080/17538947.2017.1326535openalex-snapshot
Personalized travel route recommendation using collaborative filtering based on GPS trajectories
inferredcites →https://doi.org/10.1093/biomet/13.1.25openalex-snapshot
NOTES ON THE HISTORY OF CORRELATION
inferredcites →https://doi.org/10.1103/physreve.76.046115openalex-snapshot
Bipartite network projection and personal recommendation
inferredcites →https://doi.org/10.1103/physrevlett.99.169902openalex-snapshot
Publisher’s Note: Heat Conduction Process on Community Networks as a Recommendation Model [Phys. Rev. Lett.99, 154301 (2007)]
inferredcites →https://doi.org/10.1109/access.2016.2573314openalex-snapshot
A Survey of Collaborative Filtering-Based Recommender Systems for Mobile Internet Applications
inferredcites →https://doi.org/10.1109/access.2017.2753818openalex-snapshot
Mixed Similarity Diffusion for Recommendation on Bipartite Networks
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/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1111/j.1467-8640.2012.00427.xopenalex-snapshot
A WEB‐BASED PERSONALIZED BUSINESS PARTNER RECOMMENDATION SYSTEM USING FUZZY SEMANTIC TECHNIQUES
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/2507157.2508069openalex-snapshot
Dynamic generation of personalized hybrid recommender systems
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/2993236.2993249openalex-snapshot
A feature-based personalized recommender system for product-line configuration
inferredcites →https://doi.org/10.1201/9781315396705openalex-snapshot
Big Data in Complex and Social Networks
inferredcites →https://doi.org/10.1371/journal.pone.0079354openalex-snapshot
Information Filtering in Sparse Online Systems: Recommendation via Semi-Local Diffusion
inferredcites →https://doi.org/10.1371/journal.pone.0129459openalex-snapshot
Information Filtering via Heterogeneous Diffusion in Online Bipartite Networks
inferredcites →https://doi.org/10.1587/transinf.2014edp7283openalex-snapshot
Social Network and Tag Sources Based Augmenting Collaborative Recommender System
inferredcites →https://doi.org/10.3233/web-180394openalex-snapshot
State of the art of reputation-enhanced recommender systems
inferredcites →https://doi.org/10.3390/a11090137openalex-snapshot
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
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/sym12020185openalex-snapshot
Design of an Unsupervised Machine Learning-Based Movie Recommender System
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.57702/2vwfx36ropenalex-snapshot
The movielens datasets: History and context
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Quality of interaction-based predictive model for support of online learning in pandemic situations
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Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications
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New evolutionary operators in coloring DIMACS challenge benchmark graphs
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inferred← citeshttps://doi.org/10.1109/dicct56244.2023.10110149openalex-snapshot
Applying Machine Learning & Knowledge Discovery to Intelligent Agent-Based Recommendation for Online Learning Systems
inferred← citeshttps://doi.org/10.1109/icmlc54886.2021.9737238openalex-snapshot
A Content Based and Collaborative Filtering Recommender System
inferred← citeshttps://doi.org/10.11591/ijece.v14i1.pp631-644openalex-snapshot
Affective e-learning approaches, technology and implementation model: a systematic review
inferred← citeshttps://doi.org/10.1186/s12911-023-02364-4openalex-snapshot
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
inferred← citeshttps://doi.org/10.26855/er.2022.07.006openalex-snapshot
Movie Recommender Model Using Machine Learning Approaches
inferred← citeshttps://doi.org/10.26855/jamc.2023.03.002openalex-snapshot
AI-based Smart Healthcare Disease Diagnosis: Analysis & Design of New Model
inferred← citeshttps://doi.org/10.31586/ijmebac.2022.283openalex-snapshot
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
inferred← citeshttps://doi.org/10.31586/ijmebac.2022.331openalex-snapshot
Classification and Analysis of Recommender Systems
inferred← citeshttps://doi.org/10.31586/ijmebac.2022.340openalex-snapshot
Movie Recommendation System using an Item-based Collaborative Filtering
inferred← citeshttps://doi.org/10.31586/ijmebac.2022.341openalex-snapshot
Create a Book Recommendation System using Collaborative Filtering
inferred← citeshttps://doi.org/10.31586/ijmebac.2022.350openalex-snapshot
Open-Source Datasets for Recommender Systems Analysis
inferred← citeshttps://doi.org/10.31586/ijmebac.2022.422openalex-snapshot
Graph Coloring on Bipartite Graphs
inferred← citeshttps://doi.org/10.3390/bioengineering10030363openalex-snapshot
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
inferred← citeshttps://doi.org/10.3390/math9020197openalex-snapshot
Design and Analysis of a Cluster-Based Intelligent Hybrid Recommendation System for E-Learning Applications
inferred← citeshttps://doi.org/10.3390/math9121392openalex-snapshot
Collaborative Co-Attention Network for Session-Based Recommendation
inferred← citeshttps://doi.org/10.3390/telecom4010008openalex-snapshot
Machine Learning Based Recommendation System for Web-Search Learning
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Personalized Intelligent Recommendation Algorithm for Consumer Purchase Behavior
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Solving A ML Problem Using The Grossone
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A Bayesian Statistical Personalized Recommendation System: Model Construction and Evaluation in Big Data Environment
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