Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
Authors
Keywords
-
Journal
COMPUTERS & SECURITY
Volume 118, Issue -, Pages 102746
Publisher
Elsevier BV
Online
2022-04-27
DOI
10.1016/j.cose.2022.102746
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Context-aware recommender system using trust network
- (2021) Zeyneb El Yebdri et al. COMPUTING
- Graphical Models for Processing Missing Data
- (2021) Karthika Mohan et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- A privacy-aware deep learning framework for health recommendation system on analysis of big data
- (2021) T. Mahesh Selvi et al. VISUAL COMPUTER
- A trust and semantic based approach for social recommendation
- (2021) Jyoti Shokeen et al. Journal of Ambient Intelligence and Humanized Computing
- Toward Automated Cyber Defense with Secure Sharing of Structured Cyber Threat Intelligence
- (2021) Md. Farhan Haque et al. INFORMATION SYSTEMS FRONTIERS
- An efficient clustering-based anonymization scheme for privacy-preserving data collection in IoT based healthcare services
- (2021) J. Andrew Onesimu et al. Peer-to-Peer Networking and Applications
- A privacy-preserving framework for cross-domain recommender systems
- (2021) Taiwo Blessing Ogunseyi et al. COMPUTERS & ELECTRICAL ENGINEERING
- A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
- (2021) Yassine Himeur et al. Information Fusion
- A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment
- (2021) Mingwu Zhang et al. IEEE Internet of Things Journal
- “We think you may like this”: An investigation of electronic commerce personalization for privacy‐conscious consumers
- (2021) Yong Whi (Greg) Song et al. PSYCHOLOGY & MARKETING
- Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
- (2021) Yassine Himeur et al. Journal of Cleaner Production
- A Deep Learning-Based Course Recommender System for Sustainable Development in Education
- (2021) Qinglong Li et al. Applied Sciences-Basel
- An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
- (2021) Abdullah Alsalemi et al. Sustainable Cities and Society
- REHAB-C: Recommendations for Energy HABits Change
- (2020) Christos Sardianos et al. Future Generation Computer Systems-The International Journal of eScience
- Edge and Cloud Collaborative Entity Recommendation Method towards the IoT Search
- (2020) Ruyan Wang et al. SENSORS
- A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
- (2020) Seyed Ali Osia et al. IEEE Internet of Things Journal
- CRSAL
- (2020) Xuhui Ren et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
- (2020) Zhihua Cui et al. IEEE Transactions on Services Computing
- Quantile Context-Aware Social IoT Service Big Data Recommendation With D2D Communication
- (2020) Yifan Yang et al. IEEE Internet of Things Journal
- Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
- (2020) Shuiguang Deng et al. IEEE Internet of Things Journal
- A Deep-Reinforcement-Learning-Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings
- (2020) Peter Wei et al. IEEE Internet of Things Journal
- A survey of attack detection approaches in collaborative filtering recommender systems
- (2020) Fatemeh Rezaimehr et al. ARTIFICIAL INTELLIGENCE REVIEW
- A fog based recommendation system for promoting the performance of E-Learning environments
- (2020) Taghreed S. Ibrahim et al. COMPUTERS & ELECTRICAL ENGINEERING
- Explainable Security in SDN-Based IoT Networks
- (2020) Alper Kaan Sarica et al. SENSORS
- A Social-Relationships-Based Service Recommendation System for SIoT Devices
- (2020) Amar Khelloufi et al. IEEE Internet of Things Journal
- Security and privacy of the Internet of Things
- (2020) Leon Strous et al. COMPUTERS & SECURITY
- Differentially private user-based collaborative filtering recommendation based on k-means clustering
- (2020) Zhili Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
- (2020) Iván Palomares et al. Information Fusion
- HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network
- (2020) Yali Gao et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Deep Learning-Enabled Threat Intelligence Scheme in the Internet of Things Networks
- (2020) Muna Al-Hawawreh et al. IEEE Transactions on Network Science and Engineering
- Digital nudging and privacy: improving decisions about self-disclosure in social networks
- (2019) Tobias Kroll et al. BEHAVIOUR & INFORMATION TECHNOLOGY
- Towards a more reliable privacy-preserving recommender system
- (2019) Jia-Yun Jiang et al. INFORMATION SCIENCES
- An Edge Intelligence Empowered Recommender System Enabling Cultural Heritage Applications
- (2019) Xin Su et al. IEEE Transactions on Industrial Informatics
- RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers
- (2019) Lawrence Bunnell et al. INFORMATION SYSTEMS FRONTIERS
- PPMR: A Privacy-Preserving Online Medical Service Recommendation Scheme in eHealthcare System
- (2019) Chang Xu et al. IEEE Internet of Things Journal
- Trust-based recommendation systems in Internet of Things: a systematic literature review
- (2019) Venus Mohammadi et al. Human-centric Computing and Information Sciences
- Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System
- (2019) Baolin Yi et al. IEEE Transactions on Industrial Informatics
- Detecting shilling attacks in recommender systems based on analysis of user rating behavior
- (2019) Hongyun Cai et al. KNOWLEDGE-BASED SYSTEMS
- Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
- (2019) Zhi Zhou et al. PROCEEDINGS OF THE IEEE
- Detecting Shilling Attacks with Automatic Features from Multiple Views
- (2019) Yaojun Hao et al. Security and Communication Networks
- Cyber threat intelligence sharing: Survey and research directions
- (2019) Thomas D. Wagner et al. COMPUTERS & SECURITY
- A recommendation approach for user privacy preferences in the fitness domain
- (2019) Odnan Ref Sanchez et al. USER MODELING AND USER-ADAPTED INTERACTION
- Multimodal Representation Learning for Recommendation in Internet of Things
- (2019) Zhenhua Huang et al. IEEE Internet of Things Journal
- A Fog-Based Recommender System
- (2019) Xiaodong Wang et al. IEEE Internet of Things Journal
- Physician Recommendation on Healthcare Appointment Platforms Considering Patient Choice
- (2019) Hanqi Wen et al. IEEE Transactions on Automation Science and Engineering
- Time-Aware Smart Object Recommendation in Social Internet of Things
- (2019) Yuanyi Chen et al. IEEE Internet of Things Journal
- Things2Vec: Semantic Modeling in the Internet of Things With Graph Representation Learning
- (2019) Liang Hu et al. IEEE Internet of Things Journal
- Geography-Aware Inductive Matrix Completion for Personalized Point-of-Interest Recommendation in Smart Cities
- (2019) Wei Wang et al. IEEE Internet of Things Journal
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- IoT System for Pellet Proportioning Based on BAS Intelligent Recommendation Model
- (2019) Aimin Yang et al. IEEE Transactions on Industrial Informatics
- Bias on the web
- (2018) Ricardo Baeza-Yates COMMUNICATIONS OF THE ACM
- A shilling attack detector based on convolutional neural network for collaborative recommender system in social aware network
- (2018) Chao Tong et al. COMPUTER JOURNAL
- The use of machine learning algorithms in recommender systems: A systematic review
- (2018) Ivens Portugal et al. EXPERT SYSTEMS WITH APPLICATIONS
- Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions
- (2018) Magdalini Eirinaki et al. Future Generation Computer Systems-The International Journal of eScience
- Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
- (2018) Hyejin Shin et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- MSGD: A Novel Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on GPUs
- (2018) Hao Li et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- The users’ perspective on the privacy-utility trade-offs in health recommender systems
- (2018) André Calero Valdez et al. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
- Toward Privacy-Preserving Personalized Recommendation Services
- (2018) Cong Wang et al. Engineering
- Shilling attacks against collaborative recommender systems: a review
- (2018) Mingdan Si et al. ARTIFICIAL INTELLIGENCE REVIEW
- User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection
- (2018) Jim Isaak et al. COMPUTER
- An Unsupervised Method for Detecting Shilling Attacks in Recommender Systems by Mining Item Relationship and Identifying Target Items
- (2018) Hongyun Cai et al. COMPUTER JOURNAL
- Multiview Ensemble Method for Detecting Shilling Attacks in Collaborative Recommender Systems
- (2018) Yaojun Hao et al. Security and Communication Networks
- A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services
- (2018) Shaobo Zhang et al. Future Generation Computer Systems-The International Journal of eScience
- Social Collaborative Filtering by Trust
- (2017) Bo Yang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Novel Recommendation Model Regularized with User Trust and Item Ratings
- (2016) Guibing Guo et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- On content-based recommendation and user privacy in social-tagging systems
- (2015) Silvia Puglisi et al. COMPUTER STANDARDS & INTERFACES
- Role of Agent Technology in Web Usage Mining: Homomorphic Encryption Based Recommendation for E-commerce Applications
- (2015) S. Sobitha Ahila et al. WIRELESS PERSONAL COMMUNICATIONS
- A SURVEY OF PRIVACY-PRESERVING COLLABORATIVE FILTERING SCHEMES
- (2014) ALPER BILGE et al. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
- Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
- (2014) KSII Transactions on Internet and Information Systems
- An effective privacy preserving algorithm for neighborhood-based collaborative filtering
- (2013) Tianqing Zhu et al. Future Generation Computer Systems-The International Journal of eScience
- Recommender systems survey
- (2013) J. Bobadilla et al. KNOWLEDGE-BASED SYSTEMS
- Shilling attacks against recommender systems: a comprehensive survey
- (2012) Ihsan Gunes et al. ARTIFICIAL INTELLIGENCE REVIEW
- Input online review data and related bias in recommender systems
- (2012) Selwyn Piramuthu et al. DECISION SUPPORT SYSTEMS
- Generating Private Recommendations Efficiently Using Homomorphic Encryption and Data Packing
- (2012) Zekeriya Erkin et al. IEEE Transactions on Information Forensics and Security
- Bias Correction in a Small Sample from Big Data
- (2012) Jianguo Lu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system
- (2012) Jie Cao et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Alambic: a privacy-preserving recommender system for electronic commerce
- (2008) Esma Aïmeur et al. International Journal of Information Security
- Privacy-preserving top-N recommendation on distributed data
- (2008) Huseyin Polat et al. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
- Unsupervised strategies for shilling detection and robust collaborative filtering
- (2008) Bhaskar Mehta et al. USER MODELING AND USER-ADAPTED INTERACTION
- The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias
- (2007) Chrysanthos Dellarocas et al. MANAGEMENT SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More