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Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-39200-9_18openalex-snapshot
CAPTCHA: Using Hard AI Problems for Security
inferredcites →https://doi.org/10.1007/3-540-44963-9_24openalex-snapshot
Interfaces for Eliciting New User Preferences in Recommender Systems
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/4236.968832openalex-snapshot
Privacy risks in recommender systems
inferredcites →https://doi.org/10.1109/4236.978368openalex-snapshot
Protecting free expression online with Freenet
inferredcites →https://doi.org/10.1109/icdm.2003.1250993openalex-snapshot
Privacy-preserving collaborative filtering using randomized perturbation techniques
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.1430-9134.2001.00173.xopenalex-snapshot
The Social Cost of Cheap Pseudonyms
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/352871.352889openalex-snapshot
Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/502585.502627openalex-snapshot
Evaluation of Item-Based Top- N Recommendation Algorithms
inferredcites →https://doi.org/10.1145/564376.564419openalex-snapshot
Collaborative filtering with privacy via factor analysis
inferredcites →https://doi.org/10.1145/775152.775242openalex-snapshot
The Eigentrust algorithm for reputation management in P2P networks
inferredcites →https://doi.org/10.1145/974121.974131openalex-snapshot
State-of-the-art in privacy preserving data mining
inferredcites →https://doi.org/10.1145/988672.988726openalex-snapshot
Shilling recommender systems for fun and profit
inferredcites →https://doi.org/10.21236/ada439541openalex-snapshot
Application of Dimensionality Reduction in Recommender System - A Case Study
inferredcites →https://doi.org/10.48550/arxiv.1301.3885openalex-snapshot
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119711582.ch11openalex-snapshot
Content‐Based Health Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-0-387-09428-1_9openalex-snapshot
SOFIA: Social Filtering for Robust Recommendations
inferred← citeshttps://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot
Introduction to Recommender Systems Handbook
inferred← citeshttps://doi.org/10.1007/978-0-387-85820-3_8openalex-snapshot
Evaluating Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_15openalex-snapshot
Evaluating Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-1-4471-4555-4_12openalex-snapshot
Privacy in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-1-4899-7637-6_8openalex-snapshot
Evaluating Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-29608-7_9openalex-snapshot
Privacy Concerns and Remedies in Mobile Recommender Systems (MRSs)
inferred← citeshttps://doi.org/10.1007/978-3-030-37218-7_106openalex-snapshot
A Comprehensive Survey on Web Recommendations Systems with Special Focus on Filtering Techniques and Usage of Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-60114-0_43openalex-snapshot
rScholar: An Interactive Contextual User Interface to Enhance UX of Scholarly Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-63307-3_18openalex-snapshot
Cyber Security in the Age of COVID-19
inferred← citeshttps://doi.org/10.1007/978-3-030-92038-8_92openalex-snapshot
Scientific Paper Recommender Systems: A Review
inferred← citeshttps://doi.org/10.1007/978-3-031-15565-9_13openalex-snapshot
Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation
inferred← citeshttps://doi.org/10.1007/978-3-031-56066-8_33openalex-snapshot
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
inferred← citeshttps://doi.org/10.1007/978-3-031-56069-9_4openalex-snapshot
Federated Conversational Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-67758-8_2openalex-snapshot
Recommendation System for Multivariant E-Commerce Interfaces
inferred← citeshttps://doi.org/10.1007/978-3-031-88039-1_18openalex-snapshot
Neural Network Architectures for Machine Translation: Enhancing Quality Education Through Improved Access to Multilingual Resources
inferred← citeshttps://doi.org/10.1007/978-3-319-06608-0_47openalex-snapshot
Matrix Factorization without User Data Retention
inferred← citeshttps://doi.org/10.1007/978-3-319-24177-7_6openalex-snapshot
Privacy-Preserving Context-Aware Recommender Systems: Analysis and New Solutions
inferred← citeshttps://doi.org/10.1007/978-3-319-47880-7_29openalex-snapshot
User Privacy Concerns with Common Data Used in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-67256-4_37openalex-snapshot
The Importance of Consent in User Comfort with Personalization
inferred← citeshttps://doi.org/10.1007/978-3-319-90059-9_5openalex-snapshot
A Survey on the Scalability of Recommender Systems for Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot
Collaborative Filtering Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-77002-2_3openalex-snapshot
Answer-Set Programming Based Dynamic User Modeling for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-88309-8_36openalex-snapshot
Explicit Dynamic User Profiles for a Collaborative Filtering Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-642-16567-2_5openalex-snapshot
Achieving Optimal Privacy in Trust-Aware Social Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-45135-5_10openalex-snapshot
Dimensions and Metrics for Evaluating Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-45135-5_8openalex-snapshot
Developer Profiles for Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-981-15-1304-6_9openalex-snapshot
Towards Privacy-preserving Recommender System with Blockchains
inferred← citeshttps://doi.org/10.1007/978-981-15-1384-8_15openalex-snapshot
Performance Analysis of Collaborative Recommender System: A Heuristic Approach
inferred← citeshttps://doi.org/10.1007/978-981-15-8289-9_32openalex-snapshot
Balanced Accuracy of Collaborative Recommender System
inferred← citeshttps://doi.org/10.1007/978-981-97-6684-0_31openalex-snapshot
Suggestosphere: A Sports Recommendation System
inferred← citeshttps://doi.org/10.1007/s00500-019-04605-zopenalex-snapshot
Feature selection by using privacy-preserving of recommendation systems based on collaborative filtering and mutual trust in social networks
inferred← citeshttps://doi.org/10.1007/s00799-015-0156-0openalex-snapshot
Research-paper recommender systems: a literature survey
inferred← citeshttps://doi.org/10.1007/s00799-017-0224-8openalex-snapshot
Retrieval by recommendation: using LOD technologies to improve digital library search
inferred← citeshttps://doi.org/10.1007/s10462-012-9364-9openalex-snapshot
Shilling attacks against recommender systems: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s10462-018-9655-xopenalex-snapshot
Shilling attacks against collaborative recommender systems: a review
inferred← citeshttps://doi.org/10.1007/s10462-022-10135-2openalex-snapshot
A review of deep learning-based recommender system in e-learning environments
inferred← citeshttps://doi.org/10.1007/s10462-025-11333-4openalex-snapshot
Privacy and security in recommenders: an analytical review
inferred← citeshttps://doi.org/10.1007/s10489-024-05426-wopenalex-snapshot
CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking
inferred← citeshttps://doi.org/10.1007/s10586-025-05889-7openalex-snapshot
Privacy-preserving autoencoder-based collaborative filtering
inferred← citeshttps://doi.org/10.1007/s10796-019-09935-9openalex-snapshot
RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers
inferred← citeshttps://doi.org/10.1007/s11042-019-08464-6openalex-snapshot
S-box design based on optimize LFT parameter selection: a practical approach in recommendation system domain
inferred← citeshttps://doi.org/10.1007/s11257-007-9042-9openalex-snapshot
Mediation of user models for enhanced personalization in recommender systems
inferred← citeshttps://doi.org/10.1007/s11257-011-9115-7openalex-snapshot
Evaluating recommender systems from the user’s perspective: survey of the state of the art
inferred← citeshttps://doi.org/10.1007/s11257-016-9177-7openalex-snapshot
A differential privacy framework for matrix factorization recommender systems
inferred← citeshttps://doi.org/10.1007/s11257-021-09299-3openalex-snapshot
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners
inferred← citeshttps://doi.org/10.1007/s11761-018-0248-yopenalex-snapshot
Privacy preservation for recommendation databases
inferred← citeshttps://doi.org/10.1007/s13278-019-0563-0openalex-snapshot
Characterizing the dynamics and evolution of incentivized online reviews on Amazon
inferred← citeshttps://doi.org/10.1007/s40745-014-0027-3openalex-snapshot
KAPUER: A Decision Support System for Privacy Policies Specification
inferred← citeshttps://doi.org/10.1007/s42979-023-02207-zopenalex-snapshot
The State-of-the-Art and Challenges on Recommendation System’s: Principle, Techniques and Evaluation Strategy
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Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study
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Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication Technology
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Nowhere else to go: Help seeking online and maladaptive decisional styles
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Recommendation systems: Principles, methods and evaluation
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The impact of data obfuscation on the accuracy of collaborative filtering
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Privacy-preserving collaborative recommendations based on random perturbations
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The ethical and social implications of personalization technologies for e-learning
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A privacy-preserving protocol for continuous and dynamic data collection in IoT enabled mobile app recommendation system (MARS)
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AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
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Behavioral recommendation engine driven by only non-identifiable user data
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Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
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Recommender Systems for Online and Mobile Social Networks: A survey
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Am I watching or being watched? Exploring the selective disclosure paradox in users’ self-censorship to dataveillance awareness in video recommender systems
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Examining factors influencing the user’s loyalty on algorithmic news recommendation service
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Decisional style, mood and work communication: email diaries
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Understanding Risk Preference and Risk Perception When Adopting High-Risk and Low-Risk AI Technologies
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Recommendations as personalized marketing: insights from customer experiences
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Data usage-based privacy and security issues in mobile app recommendation (MAR): a systematic literature review
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Scientific Paper Recommendation: A Survey
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DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning
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Measuring the Success of Recommender Systems: A PLS-SEM Approach
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Trojan Horses in Amazon's Castle: Understanding the Incentivized Online Reviews
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Evaluating Recommender Systems
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A Privacy-Preserving Semi-Decentralized Personalized Recommendation System
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Cognitive learning recommendation system in Indian context
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Privacy Risks for Multi-Criteria Collaborative Filtering Systems
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Enhance Job Candidate Learning Path using Gamification
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Generating Explanations for Recommendation Systems via Injective VAE
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DAMA: A Dual Alignment Framework for Enhanced LLM-Powered Recommendations
inferred← citeshttps://doi.org/10.1109/icicct.2018.8473355openalex-snapshot
Onboard Entertainment Services using Raspberry Pi with Recommendation Engine
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Mobile recommender systems: An overview of technologies and challenges
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Hybrid Weight Factorization Recommendation System
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Mimicking Human Behavior in Shared-Resource Computer Networks
inferred← citeshttps://doi.org/10.1109/iri49571.2020.00057openalex-snapshot
Latent Feature Modelling for Recommender Systems
inferred← citeshttps://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00094openalex-snapshot
Differentially Private Recommender System with Autoencoders
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Private context-aware recommendation of points of interest: An initial investigation
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A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data
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Privacy-Preserving Friendship-Based Recommender Systems
inferred← citeshttps://doi.org/10.1109/tdsc.2021.3085562openalex-snapshot
SecRec: A Privacy-Preserving Method for the Context-Aware Recommendation System
inferred← citeshttps://doi.org/10.1109/tii.2022.3214308openalex-snapshot
FGC: GCN-Based Federated Learning Approach for Trust Industrial Service Recommendation
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Achieving $\epsilon$-Object Indistinguishability in Surveillance Videos Through Trajectory Randomization
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Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
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Integrating Blockchain With Artificial Intelligence for Privacy-Preserving Recommender Systems
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Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network
inferred← citeshttps://doi.org/10.1109/tsmc.2020.3049082openalex-snapshot
Trustworthiness Assessment of Users in Social Reviewing Systems
inferred← citeshttps://doi.org/10.1109/wiiat.2008.122openalex-snapshot
Scalable Dynamic User Preferences for Recommender Systems through the Use of the Well-Founded Semantics
inferred← citeshttps://doi.org/10.1142/s0218194013500320openalex-snapshot
A SURVEY OF PRIVACY-PRESERVING COLLABORATIVE FILTERING SCHEMES
inferred← citeshttps://doi.org/10.1145/1297231.1297233openalex-snapshot
Private distributed collaborative filtering using estimated concordance measures
inferred← citeshttps://doi.org/10.1145/2441776.2441933openalex-snapshot
User-centric evaluation of a K-furthest neighbor collaborative filtering recommender algorithm
inferred← citeshttps://doi.org/10.1145/2508859.2516751openalex-snapshot
Privacy-preserving matrix factorization
inferred← citeshttps://doi.org/10.1145/2532508.2532512openalex-snapshot
Research paper recommender system evaluation
inferred← citeshttps://doi.org/10.1145/3106426.3109435openalex-snapshot
Exploring privacy concerns in news recommender systems
inferred← citeshttps://doi.org/10.1145/3369114.3369152openalex-snapshot
A Negative Similarity Based Hybrid Recommender System Using Apache Spark
inferred← citeshttps://doi.org/10.1145/3394138openalex-snapshot
Practical Privacy Preserving POI Recommendation
inferred← citeshttps://doi.org/10.1145/3460231.3474262openalex-snapshot
Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback
inferred← citeshttps://doi.org/10.1145/3530299openalex-snapshot
Expressive Latent Feature Modelling for Explainable Matrix Factorisation-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3543507.3583359openalex-snapshot
Interaction-level Membership Inference Attack Against Federated Recommender Systems
inferred← citeshttps://doi.org/10.1145/3546872openalex-snapshot
Trustworthy AI: A Computational Perspective
inferred← citeshttps://doi.org/10.1145/3555646openalex-snapshot
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design
inferred← citeshttps://doi.org/10.1145/3625007.3627338openalex-snapshot
Personalized privacy-preserving semi-centralized recommendation system in a social network
inferred← citeshttps://doi.org/10.1145/3652891openalex-snapshot
A Survey on Trustworthy Recommender Systems
inferred← citeshttps://doi.org/10.1145/3677328openalex-snapshot
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
inferred← citeshttps://doi.org/10.1155/2012/575470openalex-snapshot
Central Nervous System Strongyloidiasis and Cryptococcosis in an HIV-Infected Patient Starting Antiretroviral Therapy
inferred← citeshttps://doi.org/10.1155/2015/310185openalex-snapshot
Pulmonary Hemorrhage Secondary to Disseminated Strongyloidiasis in a Patient with Systemic Lupus Erythematosus
inferred← citeshttps://doi.org/10.1155/2016/6831854openalex-snapshot
Protein Loosing Enteropathy Secondary to Strongyloidiasis: Case Report and Review of the Literature
inferred← citeshttps://doi.org/10.1155/2020/6683834openalex-snapshot
A Smart Privacy-Preserving Learning Method by Fake Gradients to Protect Users Items in Recommender Systems
inferred← citeshttps://doi.org/10.1177/01655515241244497openalex-snapshot
A review of challenges, algorithms and evaluation methods in news recommendation
inferred← citeshttps://doi.org/10.12720/joams.1.1.54-60openalex-snapshot
Shilling Attacks against Privacy-Preserving Collaborative Filtering
inferred← citeshttps://doi.org/10.13052/jwe1540-9589.20210openalex-snapshot
News Recommendation Systems in the Era of Information Overload
inferred← citeshttps://doi.org/10.14257/ijsia.2015.9.5.19openalex-snapshot
Exploiting User Behavior Changes in Privacy Disclosure by Modified Clustering Technique
inferred← citeshttps://doi.org/10.14279/depositonce-3563openalex-snapshot
Evaluating the Accuracy and Utility of Recommender Systems
inferred← citeshttps://doi.org/10.1504/ijbidm.2016.076433openalex-snapshot
A locality centred recommendation system combining CNM clustering technique with fuzzy preference tree-based ranking algorithm
inferred← citeshttps://doi.org/10.1504/ijeb.2009.029056openalex-snapshot
Customer perceptions and sustained usage of recommender systems
inferred← citeshttps://doi.org/10.1504/ijris.2009.028014openalex-snapshot
ERASP – a system for enhancing recommendations using answer-set programming
inferred← citeshttps://doi.org/10.17148/ijarcce.2018.71134openalex-snapshot
Sentimental Analysis from Video
inferred← citeshttps://doi.org/10.20879/kjjcs.2024.68.1.003openalex-snapshot
Typology of Intelligent Information Technology Usage Groups and Determinants of Private Information Provision Intention : Focusing on Latent Class Analysis of Digital Competence
inferred← citeshttps://doi.org/10.20943/01201704.4450openalex-snapshot
A Comprehensive Study of Shilling Attacks in Recommender Systems
inferred← citeshttps://doi.org/10.2174/1875934301104010047openalex-snapshot
Effects of Directional Decisional Support Upon Risk Taking Online
inferred← citeshttps://doi.org/10.2196/69979openalex-snapshot
Recommender Systems in Health Professions Education: Protocol for a Scoping Review
inferred← citeshttps://doi.org/10.22191/nejcs/vol6/iss1/1/openalex-snapshot
Effect of recommending users and opinions on the network connectivity and idea generation process
inferred← citeshttps://doi.org/10.22456/2175-2745.41936openalex-snapshot
Introdução aos Sistemas de Recomendação para Grupos
inferred← citeshttps://doi.org/10.24251/hicss.2018.491openalex-snapshot
Job Seekers' Acceptance of Job Recommender Systems: Results of an Empirical Study
inferred← citeshttps://doi.org/10.25673/4222openalex-snapshot
Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps
inferred← citeshttps://doi.org/10.2991/978-2-38476-068-8_35openalex-snapshot
Criminalization of Copyright-Infringing Information Distribution Algorithms
inferred← citeshttps://doi.org/10.31274/etd-180810-2706openalex-snapshot
Antecedents of Review and Recommendation Systems Acceptance
inferred← citeshttps://doi.org/10.3166/isi.19.6.89-115openalex-snapshot
KAPUER : un assistant à l’écriture de politiques d’autorisation pour la protection de la vie privée
inferred← citeshttps://doi.org/10.3390/computers10090107openalex-snapshot
Dynamic Privacy-Preserving Recommendations on Academic Graph Data
inferred← citeshttps://doi.org/10.3390/electronics11213472openalex-snapshot
Content and Other Resources Recommendations for Individuals with Intellectual Disability: A Review
inferred← citeshttps://doi.org/10.3929/ethz-a-010536995openalex-snapshot
Towards understanding the impact of personality traits on mobile app adoption - a scalable approach: Research in Progress
inferred← citeshttps://doi.org/10.3929/ethz-a-010561395openalex-snapshot
A Novel Recommender System in IoT
inferred← citeshttps://doi.org/10.3929/ethz-a-010573204openalex-snapshot
Reality-Mining with Smartphones: Detecting and Predicting Life Events based on App Installation Behavior: Research-in-Progress
inferred← citeshttps://doi.org/10.3990/1.9789036535939openalex-snapshot
Cryptographically-enhanced privacy for recommender systems
inferred← citeshttps://doi.org/10.4018/978-1-60566-306-7.ch001openalex-snapshot
State-of-the-Art Recommender Systems
inferred← citeshttps://doi.org/10.4108/icst.mobiquitous.2014.258017openalex-snapshot
Privacy-aware Location Privacy Preference Recommendations
inferred← citeshttps://doi.org/10.48550/arxiv.1006.5278openalex-snapshot
A Survey Paper on Recommender Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1203.4487openalex-snapshot
Recommender systems in industrial contexts
inferred← citeshttps://doi.org/10.48550/arxiv.1509.05789openalex-snapshot
BLC: Private Matrix Factorization Recommenders via Automatic Group Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1811.11039openalex-snapshot
3PS - Online Privacy through Group Identities
inferred← citeshttps://doi.org/10.48550/arxiv.2007.01587openalex-snapshot
Privacy Threats Against Federated Matrix Factorization
inferred← citeshttps://doi.org/10.48550/arxiv.2110.00719openalex-snapshot
One-Bit Matrix Completion with Differential Privacy
inferred← citeshttps://doi.org/10.5120/cae2016652315openalex-snapshot
An Influential Recommendation System Usage for General Users
inferred← citeshttps://doi.org/10.52547/jgst.12.2.62openalex-snapshot
Design and implementation of a WEBGIS-based recommendation system based on context-awareness for tourism planning
inferred← citeshttps://doi.org/10.5555/1782254.1782258openalex-snapshot
Answer-set programming based dynamic user modeling for recommender systems
inferred← citeshttps://doi.org/10.5821/dissertation-2117-94833openalex-snapshot
Contributions to security and privacy protection in recommendation systems
inferred← citeshttps://doi.org/10.61186/arj.3.1.40openalex-snapshot
Privacy Risk in Recommender Systems
inferred← citeshttps://doi.org/10.70675/094bbb87zbdc5z409cza08dzf441206c6801openalex-snapshot
Novel learning and exploration-exploitation methods for effective recommender systems
inferred← citeshttps://doi.org/10.70675/d462bf6az05a6z41e0zadacza131e67a649copenalex-snapshot
Privacy-enabled scalable recommender systems
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