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Critique on Natural Noise in Recommender Systems

https://doi.org/10.1145/3447780
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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot
Introduction to Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-030-23760-8_1openalex-snapshot
Natural Noise Management in Recommender Systems Using Fuzzy Tools
inferredcites →https://doi.org/10.1007/978-3-319-26404-2_4openalex-snapshot
Ranking Based Approach for Noise Handling in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-29659-3openalex-snapshot
Recommender Systems: The Textbook
inferredcites →https://doi.org/10.1007/978-3-319-39937-9_18openalex-snapshot
A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-49001-4_1openalex-snapshot
Managing Natural Noise in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-31454-4_20openalex-snapshot
Users and Noise: The Magic Barrier of Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-34630-9_4openalex-snapshot
Integrating Multiple Experts for Correction Process in Interactive Recommendation Systems
inferredcites →https://doi.org/10.1007/s10462-012-9364-9openalex-snapshot
Shilling attacks against recommender systems: a comprehensive survey
inferredcites →https://doi.org/10.1007/s10844-016-0406-7openalex-snapshot
A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system
inferredcites →https://doi.org/10.1007/s11042-012-1119-8openalex-snapshot
Preference-based user rating correction process for interactive recommendation systems
inferredcites →https://doi.org/10.1007/s11042-013-1563-0openalex-snapshot
Comparison of group recommendation algorithms
inferredcites →https://doi.org/10.1007/s11042-017-4481-8openalex-snapshot
A novel rating prediction method based on user relationship and natural noise
inferredcites →https://doi.org/10.1007/s11257-018-9202-0openalex-snapshot
Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems
inferredcites →https://doi.org/10.1007/s11280-012-0161-9openalex-snapshot
Noisy but non-malicious user detection in social recommender systems
inferredcites →https://doi.org/10.1016/j.asoc.2015.10.060openalex-snapshot
A fuzzy model for managing natural noise in recommender systems
inferredcites →https://doi.org/10.1016/j.dss.2016.09.020openalex-snapshot
An empirical study of natural noise management in group recommendation systems
inferredcites →https://doi.org/10.1016/j.dss.2019.01.001openalex-snapshot
A noise correction-based approach to support a recommender system in a highly sparse rating environment
inferredcites →https://doi.org/10.1016/j.eswa.2017.10.060openalex-snapshot
A fuzzy approach for natural noise management in group recommender systems
inferredcites →https://doi.org/10.1016/j.ins.2013.07.007openalex-snapshot
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1016/j.knosys.2014.12.011openalex-snapshot
Correcting noisy ratings in collaborative recommender systems
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.procs.2017.09.168openalex-snapshot
Handling Natural Noise in Multi Criteria Recommender System utilizing effective similarity measure and Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/ifsa-nafips.2013.6608515openalex-snapshot
Managing natural noise in collaborative recommender systems
inferredcites →https://doi.org/10.1109/menacomm.2018.8371003openalex-snapshot
Similarity measures for collaborative filtering recommender systems
inferredcites →https://doi.org/10.1109/spaces.2015.7058284openalex-snapshot
A review on noise reduction methods for brain MRI images
inferredcites →https://doi.org/10.1137/1.9781611975673.84openalex-snapshot
Collaborative Filtering with Noisy Ratings
inferredcites →https://doi.org/10.1145/1111449.1111477openalex-snapshot
Detecting noise in recommender system databases
inferredcites →https://doi.org/10.1145/1639714.1639744openalex-snapshot
Rate it again
inferredcites →https://doi.org/10.1145/223904.223929openalex-snapshot
Recommending and evaluating choices in a virtual community of use
inferredcites →https://doi.org/10.1145/2348283.2348469openalex-snapshot
Estimating the magic barrier of recommender systems
inferredcites →https://doi.org/10.1145/2365952.2365974openalex-snapshot
How many bits per rating?
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1145/963770.963775openalex-snapshot
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
inferredcites →https://doi.org/10.1371/journal.pone.0130968openalex-snapshot
Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis
inferredcites →https://doi.org/10.2991/ijcis.2017.10.1.52openalex-snapshot
Fuzzy Tools in Recommender Systems: A Survey
inferredcites →https://doi.org/10.5220/0005041401540161openalex-snapshot
Semantic Coherence-based User Profile Modeling in the Recommender Systems Context
inferredcites →https://doi.org/10.5220/0007409507390745openalex-snapshot
Adaptive Serendipity for Recommender Systems: Let It Find You
inferredcites →https://doi.org/10.5555/944919.944974openalex-snapshot
An extensive empirical study of feature selection metrics for text classification

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-53503-1_17openalex-snapshot
Exploring the Power of Weak Ties on Serendipity in Recommender Systems
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106129openalex-snapshot
Sampling and noise filtering methods for recommender systems: A literature review
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120406openalex-snapshot
A novel joint neural collaborative filtering incorporating rating reliability
inferred← citeshttps://doi.org/10.1016/j.is.2026.102699openalex-snapshot
Deep learning approaches for handling noisy data in collaborative filtering: A survey
inferred← citeshttps://doi.org/10.1109/access.2023.3262026openalex-snapshot
Autoencoder-Based Recommender System Exploiting Natural Noise Removal
inferred← citeshttps://doi.org/10.1109/aiccsa56895.2022.10017953openalex-snapshot
Strategic Attacks on Recommender Systems: An Obfuscation Scenario
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11091081openalex-snapshot
A New Fuzzy Noise Management Method in Recommender Systems
inferred← citeshttps://doi.org/10.1109/iciba68339.2026.11651626openalex-snapshot
Collaborative Filtering Latent Space Optimization Algorithm with KL-PSS and Cross-Modal Integration
inferred← citeshttps://doi.org/10.1109/inista68122.2025.11249562openalex-snapshot
Theoretical Foundations for Recommender System's Three-Tier Network Model
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3288769openalex-snapshot
Uncertainty-Adjusted Recommendation via Matrix Factorization With Weighted Losses
inferred← citeshttps://doi.org/10.1145/3629170openalex-snapshot
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
inferred← citeshttps://doi.org/10.1145/3640820openalex-snapshot
Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation
inferred← citeshttps://doi.org/10.1145/3643685openalex-snapshot
Attacking Click-through Rate Predictors via Generating Realistic Fake Samples
inferred← citeshttps://doi.org/10.70675/a930808bzec09z4185z8186z6a7c17ec2478openalex-snapshot
Corporate Decision-Making for the Adoption of Cloud Computing : Economic and Organizational Factors
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