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Dynamic Privacy-Preserving Recommendations on Academic Graph Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11766155_2openalex-snapshot
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-1-4419-5906-5openalex-snapshot
Encyclopedia of Cryptography and Security
inferredcites →https://doi.org/10.1007/978-1-4471-4555-4_12openalex-snapshot
Privacy in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-98192-5_22openalex-snapshot
Knowledge Graph Embeddings with node2vec for Item Recommendation
inferredcites →https://doi.org/10.1007/s10207-007-0049-3openalex-snapshot
Alambic: a privacy-preserving recommender system for electronic commerce
inferredcites →https://doi.org/10.1007/s10462-012-9359-6openalex-snapshot
A study of the dynamic features of recommender systems
inferredcites →https://doi.org/10.1007/s41019-016-0020-2openalex-snapshot
A Practical Privacy-Preserving Recommender System
inferredcites →https://doi.org/10.1016/j.eng.2018.02.005openalex-snapshot
Toward Privacy-Preserving Personalized Recommendation Services
inferredcites →https://doi.org/10.1016/j.jnca.2017.12.004openalex-snapshot
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks
inferredcites →https://doi.org/10.1016/j.procs.2019.04.043openalex-snapshot
GDPR principles in Data protection encourage pseudonymization through most popular and full-personalized devices - mobile phones
inferredcites →https://doi.org/10.1049/pbpc035f_ch12openalex-snapshot
User's privacy in recommendation systems applying online social network data: a survey and taxonomy
inferredcites →https://doi.org/10.1088/1742-6596/978/1/012116openalex-snapshot
A comparative study of Message Digest 5(MD5) and SHA256 algorithm
inferredcites →https://doi.org/10.1109/4236.968832openalex-snapshot
Privacy risks in recommender systems
inferredcites →https://doi.org/10.1109/access.2018.2890388openalex-snapshot
Scientific Paper Recommendation: A Survey
inferredcites →https://doi.org/10.1109/icws.2015.41openalex-snapshot
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.3015835openalex-snapshot
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks
inferredcites →https://doi.org/10.1109/wifs.2013.6707795openalex-snapshot
Privacy-preserving recommender systems in dynamic environments
inferredcites →https://doi.org/10.1145/1536414.1536440openalex-snapshot
Fully homomorphic encryption using ideal lattices
inferredcites →https://doi.org/10.1145/2508859.2516751openalex-snapshot
Privacy-preserving matrix factorization
inferredcites →https://doi.org/10.1145/2792838.2800173openalex-snapshot
Applying Differential Privacy to Matrix Factorization
inferredcites →https://doi.org/10.1145/2792838.2800191openalex-snapshot
Fast Differentially Private Matrix Factorization
inferredcites →https://doi.org/10.1145/2809563.2809621openalex-snapshot
Semantic enrichment for adaptive expert search
inferredcites →https://doi.org/10.1145/2911451.2914678openalex-snapshot
The LExR Collection for Expertise Retrieval in Academia
inferredcites →https://doi.org/10.1145/2959100.2959131openalex-snapshot
Personalized Recommendations using Knowledge Graphs
inferredcites →https://doi.org/10.1145/3079628.3079708openalex-snapshot
Personalized Research Paper Recommendation using Deep Learning
inferredcites →https://doi.org/10.1145/3109859.3109872openalex-snapshot
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation
inferredcites →https://doi.org/10.1145/3109859.3109896openalex-snapshot
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3212509openalex-snapshot
Efficient Privacy-Preserving Matrix Factorization for Recommendation via Fully Homomorphic Encryption
inferredcites →https://doi.org/10.1145/3308558.3313747openalex-snapshot
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
inferredcites →https://doi.org/10.14257/ijhit.2015.8.10.04openalex-snapshot
On Privacy-preserving Context-aware Recommender System
inferredcites →https://doi.org/10.1504/ijwet.2018.095184openalex-snapshot
A review on the dynamics of social recommender systems
inferredcites →https://doi.org/10.1504/ijwet.2018.10016164openalex-snapshot
A review on the dynamics of social recommender systems
inferredcites →https://doi.org/10.1609/aimag.v32i3.2364openalex-snapshot
Context‐Aware Recommender Systems
inferredcites →https://doi.org/10.18653/v1/d19-1371openalex-snapshot
SciBERT: A Pretrained Language Model for Scientific Text
inferredcites →https://doi.org/10.18653/v1/p19-1584openalex-snapshot
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
inferredcites →https://doi.org/10.2478/popets-2019-0048openalex-snapshot
ScrambleDB: Oblivious (Chameleon) Pseudonymization-as-a-Service
inferredcites →https://doi.org/10.3233/shti190813openalex-snapshot
Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports
inferredcites →https://doi.org/10.48550/arxiv.1802.02432openalex-snapshot
CryptoRec: Privacy-preserving Recommendation as a Service
inferredcites →https://doi.org/10.48550/arxiv.1904.09675openalex-snapshot
BERTScore: Evaluating Text Generation with BERT
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781394351572.ch4openalex-snapshot
Illuminating Knowledge Graph–Based Recommendation Solutions
inferred← citeshttps://doi.org/10.1007/978-3-031-10869-3_8openalex-snapshot
A Survey on Graph Neural Network Based Video Recommendation System
inferred← citeshttps://doi.org/10.1007/s11023-024-09685-xopenalex-snapshot
Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2025.103025openalex-snapshot
B&S2Vec: Mapping market structure in two-sided platform based on consumers’ purchase trajectories
inferred← citeshttps://doi.org/10.1109/csr61664.2024.10679399openalex-snapshot
Towards a Generic Knowledge Graph Construction Framework for Privacy Awareness
inferred← citeshttps://doi.org/10.1109/icedeg61611.2024.10702054openalex-snapshot
User Characterization Strategies in GDPR-Compliant Environments: Beekeeper AG Case Study
inferred← citeshttps://doi.org/10.1109/roedunet60162.2023.10274917openalex-snapshot
The Significance of Enhancing Data Fairness in Educational Recommender Systems
inferred← citeshttps://doi.org/10.1145/3503252.3534361openalex-snapshot
Beyond-Accuracy Perspectives on Graph Neural Network-Based Models for Behavioural User Profiling
inferred← citeshttps://doi.org/10.1145/3565472.3595616openalex-snapshot
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives
inferred← citeshttps://doi.org/10.1145/3583780.3615292openalex-snapshot
Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges
inferred← citeshttps://doi.org/10.1145/3697832openalex-snapshot
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction
inferred← citeshttps://doi.org/10.2478/jec-2024-0028openalex-snapshot
Systematization of Processes of Value-Creating Activities of Operational Sustainability and Social Responsibility
inferred← citeshttps://doi.org/10.36948/ijfmr.2024.v06i03.20301openalex-snapshot
Privacy Preserving Recommender Systems
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