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Recommender Systems Challenges and Solutions Survey

https://doi.org/10.1109/itce.2019.8646645
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-42706-5_11openalex-snapshot
Amalgamating Social Media Data and Movie Recommendation
inferredcites →https://doi.org/10.1007/978-981-10-0557-2_112openalex-snapshot
Recommender Systems: Issues, Challenges, and Research Opportunities
inferredcites →https://doi.org/10.1007/s11042-016-3481-4openalex-snapshot
A collaborative recommender system enhanced with particle swarm optimization technique
inferredcites →https://doi.org/10.1016/j.ins.2016.11.003openalex-snapshot
Collaborative filtering using multiple binary maximum margin matrix factorizations
inferredcites →https://doi.org/10.1016/j.jocs.2017.05.023openalex-snapshot
Exploiting coarse-grained reused-based opportunities in Big Data multi-query optimization
inferredcites →https://doi.org/10.1016/j.procs.2016.04.214openalex-snapshot
A Hybrid Distributed Collaborative Filtering Recommender Engine Using Apache Spark
inferredcites →https://doi.org/10.1080/02564602.2016.1260498openalex-snapshot
Optimizing Join in HIVE Star Schema Using Key/Facts Indexing
inferredcites →https://doi.org/10.1109/ccaa.2015.7148534openalex-snapshot
Trends, problems and solutions of recommender system
inferredcites →https://doi.org/10.1109/cgc.2012.121openalex-snapshot
Movie Recommendation System Based on Movie Swarm
inferredcites →https://doi.org/10.1109/dsc.2016.54openalex-snapshot
Parallelization of Latent Group Model for Group Recommendation Algorithm
inferredcites →https://doi.org/10.1109/fskd.2010.5569479openalex-snapshot
Collaborative filtering recommendation algorithm based on hybrid user model
inferredcites →https://doi.org/10.1109/icetets.2016.7602983openalex-snapshot
Movie recommender system using item based collaborative filtering technique
inferredcites →https://doi.org/10.1109/icirca.2018.8597427openalex-snapshot
A Survey of Recommendation System
inferredcites →https://doi.org/10.1109/icngis.2016.7854058openalex-snapshot
Recommendation system for big data applications based on set similarity of user preferences
inferredcites →https://doi.org/10.1109/infos.2014.7036682openalex-snapshot
JOMR: Multi-join optimizer technique to enhance map-reduce job
inferredcites →https://doi.org/10.1109/intellisys.2015.7361167openalex-snapshot
Hash semi cascade join for joining multi-way map reduce
inferredcites →https://doi.org/10.1109/itce.2018.8316608openalex-snapshot
An approach for big data security based on Hadoop distributed file system
inferredcites →https://doi.org/10.1109/wkdd.2010.117openalex-snapshot
A Scalable, Accurate Hybrid Recommender System
inferredcites →https://doi.org/10.14257/ijgdc.2016.9.5.20openalex-snapshot
Comparative Study of Multi-query Optimization Techniques using Shared Predicate-based for Big Data
inferredcites →https://doi.org/10.1515/cait-2016-0092openalex-snapshot
Application of Improved Recommendation System Based on Spark Platform in Big Data Analysis
inferredcites →https://doi.org/10.17485/ijst/2018/v11i18/119112openalex-snapshot
Hash Semi Join Map Reduce to Join Billion Records in a Reasonable Time
inferredcites →https://doi.org/10.5120/ijca2017913081openalex-snapshot
A Survey on Recommendation System

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4676404openalex-extracted
Deep Representation Learning of User Preferences for Opinionclassification
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A Brief Model Overview of Personalized Recommendation to Citizens in the Health‐Care Industry
inferred← citeshttps://doi.org/10.1002/9781119792529.ch3openalex-snapshot
A Comparative Overview of Hybrid Recommender Systems: Review, Challenges, and Prospects
inferred← citeshttps://doi.org/10.1002/spe.3375openalex-snapshot
A semantically enabled architecture for interoperable edge‐cloud continuum applied to the e‐health scenario
inferred← citeshttps://doi.org/10.1007/978-3-030-42504-3_13openalex-snapshot
Recommended for You: “You Don’t Need No Thought Control”. An Analysis of News Personalisation in Light of Article 22 GDPR
inferred← citeshttps://doi.org/10.1007/978-3-030-43192-1_21openalex-snapshot
Challenges and Solutions in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-55789-8_17openalex-snapshot
S2RSCS: An Efficient Scientific Submission Recommendation System for Computer Science
inferred← citeshttps://doi.org/10.1007/978-3-030-75100-5_14openalex-snapshot
A Novel Hybrid Recommendation Approach Based on Correlation and Co-occurrence Between Activities Within Social Learning Network
inferred← citeshttps://doi.org/10.1007/978-3-031-16210-7_5openalex-snapshot
A Recommendation System for Job Providers Using a Big Data Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-26651-5_5openalex-snapshot
Toward Recommender Systems Scalability and Efficacy
inferred← citeshttps://doi.org/10.1007/978-3-031-35078-8_38openalex-snapshot
A Systematic Review on Recommender System Models, Challenges, Domains and Its Perspectives
inferred← citeshttps://doi.org/10.1007/978-3-031-40579-2_48openalex-snapshot
Survey on Artificial Intelligence and Its Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-50215-6_3openalex-snapshot
Event-Based Data Pipelines in Recommender Systems: The Data Engineering Perspective
inferred← citeshttps://doi.org/10.1007/978-3-031-62277-9_20openalex-snapshot
A Social Profile-Based Recommendation Architecture for E-Learning Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-71033-9_3openalex-snapshot
The Team Order Problem: Maximizing the Probability of Matching Being Large Enough
inferred← citeshttps://doi.org/10.1007/978-3-032-01497-9_15openalex-snapshot
Combining Accuracy and Diversity to Enhance the Quality of the Recommender System
inferred← citeshttps://doi.org/10.1007/978-94-6265-755-7_7openalex-snapshot
Personalisation and Article 22 GDPR
inferred← citeshttps://doi.org/10.1007/978-981-16-0730-1_2openalex-snapshot
Analytical Study on Algorithms for Content-Based Mobile Phone Recommendation System
inferred← citeshttps://doi.org/10.1007/978-981-19-1559-8_5openalex-snapshot
An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-981-19-1610-6_39openalex-snapshot
A Novel Context-Aware Recommendation Approach Based on Tensor Decomposition
inferred← citeshttps://doi.org/10.1007/978-981-19-2719-5_68openalex-snapshot
The State of the Art Techniques in Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-981-19-2894-9_35openalex-snapshot
A Review of the Techniques and Evaluation Parameters for Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-981-19-5845-8_11openalex-snapshot
Comprehensive Assessment of Big Data in Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-3299-9_25openalex-snapshot
An Overview on Testing Big Data Applications
inferred← citeshttps://doi.org/10.1007/978-981-99-1479-1_43openalex-snapshot
Intellectual Movie Recommendation System Using Supervised Machine Learning Method
inferred← citeshttps://doi.org/10.1007/s00530-024-01261-8openalex-snapshot
Integrating user-side information into matrix factorization to address data sparsity of collaborative filtering
inferred← citeshttps://doi.org/10.1007/s10115-023-01906-6openalex-snapshot
Recommender Systems in Cybersecurity
inferred← citeshttps://doi.org/10.1007/s10115-026-02828-9openalex-snapshot
An adaptive scalarization framework for multi-objective recommender systems
inferred← citeshttps://doi.org/10.1007/s10489-021-02900-7openalex-snapshot
Similarity modifiers for enhancing the recommender system performance
inferred← citeshttps://doi.org/10.1007/s10660-024-09911-9openalex-snapshot
MycGNN: enhancing recommendation diversity in e-commerce through mycelium-inspired graph neural network
inferred← citeshttps://doi.org/10.1007/s11042-021-11316-xopenalex-snapshot
Authoring and playing interactive fiction with conventional web technologies
inferred← citeshttps://doi.org/10.1007/s11042-023-16798-5openalex-snapshot
PUB-VEN: a personalized recommendation system for suggesting publication venues
inferred← citeshttps://doi.org/10.1007/s11192-022-04397-4openalex-snapshot
Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system
inferred← citeshttps://doi.org/10.1007/s13735-024-00349-1openalex-snapshot
Recent trends in recommender systems: a survey
inferred← citeshttps://doi.org/10.1007/s43069-025-00521-1openalex-snapshot
Contextual Product Recommendation Using Transformer-Based Models: Uncovering Product Dependencies in Transactional Data
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2020.106791openalex-snapshot
A fog based recommendation system for promoting the performance of E-Learning environments
inferred← citeshttps://doi.org/10.1016/j.dsp.2021.103310openalex-snapshot
Online hotel rating prediction through a dynamic weighted ordered probit model
inferred← citeshttps://doi.org/10.1016/j.procs.2020.07.102openalex-snapshot
Job Recommendation based on Job Profile Clustering and Job Seeker Behavior
inferred← citeshttps://doi.org/10.1016/j.procs.2024.06.032openalex-snapshot
Research Agenda of Ethical Recommender Systems based on Explainable AI
inferred← citeshttps://doi.org/10.1016/j.procs.2025.09.370openalex-snapshot
An intention-based recommendation approach
inferred← citeshttps://doi.org/10.1038/s41598-026-41651-8openalex-snapshot
A neutrosophic clustering approach to handle recommendation uncertainty for gray sheep users
inferred← citeshttps://doi.org/10.1063/5.0176896openalex-snapshot
Intelligent recommender system in social media platforms
inferred← citeshttps://doi.org/10.1063/5.0182521openalex-snapshot
Retraction: A review of recommendation system: Techniques, limitation and evaluation
inferred← citeshttps://doi.org/10.1063/5.0190403openalex-snapshot
Big data applications based on web mining techniques and recommender systems: Survey
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Integrating MCDM techniques for optimized recommender systems in the age of generative AI
inferred← citeshttps://doi.org/10.1080/10447318.2023.2175973openalex-snapshot
Effect of Low-Level Interaction Data in Repeat Purchase Prediction Task
inferred← citeshttps://doi.org/10.1093/comjnl/bxad112openalex-snapshot
API Recommendation For Mashup Creation: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/access.2024.3359053openalex-snapshot
GCZRec: Generative Collaborative Zero-Shot Framework for Cold Start News Recommendation
inferred← citeshttps://doi.org/10.1109/access.2025.3535527openalex-snapshot
Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11468137openalex-snapshot
Hybrid Transformer-Based Model for Recommender Systems
inferred← citeshttps://doi.org/10.1109/acompa64883.2024.00008openalex-snapshot
Developing and Evaluating Machine Learning Models in Recommendation Systems
inferred← citeshttps://doi.org/10.1109/afros62115.2024.11036974openalex-snapshot
Exploring the Impact of Similarity Measures on Implicit Collaborative Filtering in Point of Interest Recommender Systems
inferred← citeshttps://doi.org/10.1109/codit55151.2022.9804079openalex-snapshot
Topic modeling and Sentiment Analysis-based Recommender system: A literature review
inferred← citeshttps://doi.org/10.1109/codit66093.2025.11321571openalex-snapshot
Towards solving the Cold Start and Explainability Challenges in Recommender Systems Using Knowledge Graphs and User Demographics Data
inferred← citeshttps://doi.org/10.1109/comtech57708.2023.10165021openalex-snapshot
Co-Clustering based Hybrid Collaborative Filtering Model
inferred← citeshttps://doi.org/10.1109/csicc55295.2022.9780495openalex-snapshot
Content-Based Telegram Group Recommender System
inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353294openalex-snapshot
Optimizing Book Recommendations through Machine Learning: A Collaborative Filtering and Popularity-Based Framework
inferred← citeshttps://doi.org/10.1109/hora58378.2023.10156719openalex-snapshot
Sentiment-enhanced Neural Collaborative Filtering Models Using Explicit User Preferences
inferred← citeshttps://doi.org/10.1109/i2ct54291.2022.9824265openalex-snapshot
A Comparative Review of Expert Systems, Recommender Systems, and Explainable AI
inferred← citeshttps://doi.org/10.1109/ic3iot60841.2024.10550212openalex-snapshot
SCRAP – Smart Character Recognition and Prediction AI
inferred← citeshttps://doi.org/10.1109/icaicta53211.2021.9640258openalex-snapshot
Designing Embodied Virtual Agent in E-commerce System Recommendations using Conversational Design Interaction
inferred← citeshttps://doi.org/10.1109/icccnt51525.2021.9579647openalex-snapshot
Book Recommendation System
inferred← citeshttps://doi.org/10.1109/iccspa61559.2024.10794274openalex-snapshot
Age and Gender Prediction Using Paralinguistic Features of EEG Signals and Machine Learning
inferred← citeshttps://doi.org/10.1109/icdate58146.2023.10248849openalex-snapshot
Dynamic and Private Recommendation System
inferred← citeshttps://doi.org/10.1109/icdsaai55433.2022.10028966openalex-snapshot
Hybrid Music Recommendation System Utilizing Item Popularity and Content-Based Filtering Innovations in music
inferred← citeshttps://doi.org/10.1109/iciet55102.2022.9779037openalex-snapshot
Trends and Characteristics of Career Recommendation Systems for Fresh Graduated Students
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Content Based News Recommendation Engine using Hybrid BiLSTM-ANN Feature Modelling
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AI Recommendations: Friend or Foe? Unraveling the Impact on Consumer Benefits and Privacy
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On the Edge and Cloud: Recommendation Systems with Distributed Machine Learning
inferred← citeshttps://doi.org/10.1109/icit58056.2023.10226042openalex-snapshot
Personalizing Product Recommendations using Collaborative Filtering in Online Retail: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/icrom57054.2022.10025210openalex-snapshot
Building Movie Recommender Systems Utilizing Poster's Visual Features: A Survey Study
inferred← citeshttps://doi.org/10.1109/icrteect67512.2025.11448971openalex-snapshot
To Enhance Machine Learning Techniques for Recommender Systems in Feature Modeling and Configuration- A Comparative Case Analysis
inferred← citeshttps://doi.org/10.1109/icsec56337.2022.10049329openalex-snapshot
Contextual Data Modeling for Recommender System in Building and Construction Materials Business
inferred← citeshttps://doi.org/10.1109/icssit55814.2023.10060889openalex-snapshot
A Survey on Recommendation Systems using Collaborative Filtering Techniques
inferred← citeshttps://doi.org/10.1109/icstcee56972.2022.10100069openalex-snapshot
Machine Learning-Based Personalized Recommendation System for E-Learners
inferred← citeshttps://doi.org/10.1109/itce48509.2020.9047811openalex-snapshot
Smurf Detector: a Detection technique of criminal entities involved in Money Laundering
inferred← citeshttps://doi.org/10.1109/miucc55081.2022.9781739openalex-snapshot
A Survey on Recommender Systems Challenges and Solutions
inferred← citeshttps://doi.org/10.1109/ojcs.2024.3396344openalex-snapshot
A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems
inferred← citeshttps://doi.org/10.1109/pdgc56933.2022.10053362openalex-snapshot
Multi-Modality Recommender Systems: A Review
inferred← citeshttps://doi.org/10.1109/smartnets58706.2023.10216111openalex-snapshot
Design and Implementation of Proactive Multi-Type Context-Aware Recommender System for Patients Suffering Diabetes
inferred← citeshttps://doi.org/10.1109/tai.2025.3572462openalex-snapshot
Unveiling the Convergence Dynamics of a Graph Recommender System
inferred← citeshttps://doi.org/10.1109/tsc.2022.3205482openalex-snapshot
Combining Resource-Aware Recommendation and Caching in the Era of MEC for Improving the Experience of Video Streaming Users
inferred← citeshttps://doi.org/10.1109/tvt.2021.3129832openalex-snapshot
Intelligent Recommendation-Based User Plane Handover With Enhanced TCP Throughput in Ultra-Dense Cellular Networks
inferred← citeshttps://doi.org/10.1109/wi-iat59888.2023.00015openalex-snapshot
Improving the Scalability of Collaborative Filtering Recommendation with Clustering Techniques
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An E‐commerce prediction system for product allocation to bridge the gap between cultural analytics and data science
inferred← citeshttps://doi.org/10.1145/3366424.3383300openalex-snapshot
Boosting Recommender Systems with Advanced Embedding Models
inferred← citeshttps://doi.org/10.1145/3589334.3645494openalex-snapshot
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation
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An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors
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ROBUREC: Building a Robust Recommender using Autoencoders with Anomaly Detection
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LFG: A Generative Network for Real-Time Recommendation
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Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations
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Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining
inferred← citeshttps://doi.org/10.1155/2023/2311817openalex-snapshot
A Movie Recommender System Based on User Profile and Artificial Bee Colony Optimization
inferred← citeshttps://doi.org/10.11606/d.55.2023.tde-28082023-131450openalex-snapshot
A Cognitive Diagnosis Approach for Recommending Items Based on Polytomous Responses and Latent Attributes
inferred← citeshttps://doi.org/10.1177/09610006231214562openalex-snapshot
Do LIS experts select more appropriate journals than journal finders? A study about LIS journals?
inferred← citeshttps://doi.org/10.1177/1088467x261459687openalex-snapshot
Rating-oriented interest graph disentanglement for review-based recommendation
inferred← citeshttps://doi.org/10.1186/s40537-022-00560-zopenalex-snapshot
An integrated model for evaluation of big data challenges and analytical methods in recommender systems
inferred← citeshttps://doi.org/10.1186/s40537-025-01173-yopenalex-snapshot
Job recommender systems: a systematic literature review, applications, open issues, and challenges
inferred← citeshttps://doi.org/10.1371/journal.pone.0312766openalex-snapshot
Enhancing contact recommendation in social platforms through mental health awareness: Exploring Anorexia Nervosa as a case study
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0110484openalex-snapshot
Machine Learning Model for Personalizing Online Arabic Journalism
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0111083openalex-snapshot
Multi-Objective Evolutionary Programming for Developing Recommender Systems based on Collaborative Filtering
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0111262openalex-snapshot
Temporal-based Optimization to Solve Data Sparsity in Collaborative Filtering
inferred← citeshttps://doi.org/10.15575/join.v5i1.573openalex-snapshot
Possible System Architecture for Travel Recommender
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i2s.6043openalex-snapshot
A VOS analysis of LSTM Learners Classification for Recommendation System
inferred← citeshttps://doi.org/10.17780/ksujes.1410926openalex-snapshot
ÖNERİ SİSTEMLERİNDE KULLANILAN PERFORMANS METRİKLERİNİN FİLTRELEME TEKNOLOJİLERİNE GÖRE DEĞERLENDİRİLMESİ: İŞ ÖNERİ SİSTEMLERİ ALANI ÜZERİNE BİR ARAŞTIRMA ÇALIŞMASI
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Sistema recomendador híbrido basado en modelos probabilísticos
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1215751/v1openalex-snapshot
To Enhance the Quality of HCRS using Fuzzy-Genetic Approach
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Tourism Recommendation System using Weighted Hybrid Method in Bali Island
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Dietary Behavior Based Food Recommender System Using Deep Learning and Clustering Techniques
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Human-robot interaction through adjustable social autonomy
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Unsupervised contaminated user profile identification against shilling attack in recommender system
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A novel approach to enhance the quality of health care recommender system using fuzzy-genetic approach
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Creating a Data Architecture for Cybersecurity in Healthcare Systems
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Improving Graph-Based Movie Recommender System Using Cinematic Experience
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Preference-Tree-Based Real-Time Recommendation System
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Hybrid Approach to Improve Recommendation of Cloud Services for Personalized QoS Requirements
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APPLICATION DEVELOPMENT FOR MUSIC RECOMMENDATION SYSTEM USING DEEP DETERMINISTIC POLICY GRADIENT
inferred← citeshttps://doi.org/10.35530/it.074.06.202331openalex-snapshot
An intelligent garment recommendation system based on case-based reasoning technology
inferred← citeshttps://doi.org/10.35940/ijitee.l1006.10812s319openalex-snapshot
Recommendation Systems in the Big Data Era
inferred← citeshttps://doi.org/10.37934/araset.41.2.113124openalex-snapshot
A Review on Job Recommendation System
inferred← citeshttps://doi.org/10.3897/jucs.79777openalex-snapshot
Towards more trustworthy predictions: A hybrid evidential movie recommender system
inferred← citeshttps://doi.org/10.4018/978-1-6684-4225-8.ch008openalex-snapshot
College Recommendation System Using K-Means Algorithm
inferred← citeshttps://doi.org/10.4018/979-8-3373-0740-4.ch006openalex-snapshot
Recommendation System in the Educational Context
inferred← citeshttps://doi.org/10.4018/979-8-3373-8011-7.ch007openalex-snapshot
Navigating Preferences With Artificial Intelligence
inferred← citeshttps://doi.org/10.46647/ijetms.2024.v08i01.021openalex-snapshot
Career Recommendation System based on Student Preferences
inferred← citeshttps://doi.org/10.46656/access.2022.3.2(1)openalex-snapshot
Developing hybrid recommendation systems: Ukrainian dimension
inferred← citeshttps://doi.org/10.5120/ijca2020920531openalex-snapshot
An Enhanced Collaborative Filtering-based Approach for Recommender Systems
inferred← citeshttps://doi.org/10.55908/sdgs.v11i11.2243openalex-snapshot
A Comprehensive Survey on Recommender Systems Techniques and Challenges in Big Data Analytics with IoT Applications
inferred← citeshttps://doi.org/10.59367/ijfiest.v1i1.5openalex-snapshot
A Hybrid Approach To Music Recommendation Using Sentiment Analysis
inferred← citeshttps://doi.org/10.61098/ijiretm.v1i1.109openalex-snapshot
Principle of Educational Management in Hybrid Learning
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