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From existing trends to future trends in privacy‐preserving collaborative filtering

https://doi.org/10.1002/widm.1163
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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4471-4555-4_12openalex-snapshot
Privacy in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-05813-9_15openalex-snapshot
Thwarting Passive Privacy Attacks in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-319-08855-6_7openalex-snapshot
A Model for Preserving Privacy in Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-319-09581-3_12openalex-snapshot
Privacy-Preserving Distributed Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-642-29934-6_5openalex-snapshot
A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering
inferredcites →https://doi.org/10.1007/978-3-642-40203-6_23openalex-snapshot
Efficient Privacy-Enhanced Familiarity-Based Recommender System
inferredcites →https://doi.org/10.1007/978-3-662-47854-7_28openalex-snapshot
Privacy Preserving Collaborative Filtering from Asymmetric Randomized Encoding
inferredcites →https://doi.org/10.1007/978-94-007-6190-2_18openalex-snapshot
Handling the Data Growth with Privacy Preservation in Collaborative Filtering
inferredcites →https://doi.org/10.1007/s13278-014-0196-2openalex-snapshot
Privacy preserving collaborative filtering for KNN attack resisting
inferredcites →https://doi.org/10.1016/j.asoc.2012.11.046openalex-snapshot
A comparison of clustering-based privacy-preserving collaborative filtering schemes
inferredcites →https://doi.org/10.1016/j.eswa.2013.11.039openalex-snapshot
Robustness analysis of privacy-preserving model-based recommendation schemes
inferredcites →https://doi.org/10.1016/j.eswa.2014.06.007openalex-snapshot
Intelligent tourism recommender systems: A survey
inferredcites →https://doi.org/10.1016/j.future.2013.01.001openalex-snapshot
Measuring the privacy of user profiles in personalized information systems
inferredcites →https://doi.org/10.1016/j.future.2013.07.019openalex-snapshot
An effective privacy preserving algorithm for neighborhood-based collaborative filtering
inferredcites →https://doi.org/10.1016/j.future.2014.11.003openalex-snapshot
An algorithm for efficient privacy-preserving item-based collaborative filtering
inferredcites →https://doi.org/10.1016/j.ipm.2013.02.004openalex-snapshot
A scalable privacy-preserving recommendation scheme via bisecting k-means clustering
inferredcites →https://doi.org/10.1016/j.jcss.2014.12.013openalex-snapshot
A k-anonymous approach to privacy preserving collaborative filtering
inferredcites →https://doi.org/10.1109/allerton.2012.6483317openalex-snapshot
The price of privacy in untrusted recommendation engines
inferredcites →https://doi.org/10.1109/cloud.2013.109openalex-snapshot
Privacy-Preserving Collaborative Filtering on the Cloud and Practical Implementation Experiences
inferredcites →https://doi.org/10.1109/cns.2013.6682707openalex-snapshot
Privacy-preserving item-based Collaborative Filtering using semi-distributed Belief Propagation
inferredcites →https://doi.org/10.1109/icdmw.2012.84openalex-snapshot
A Practical System for Privacy-Preserving Collaborative Filtering
inferredcites →https://doi.org/10.1109/icebe.2013.37openalex-snapshot
On Privacy Preserving Collaborative Filtering: Current Trends, Open Problems, and New Issues
inferredcites →https://doi.org/10.1109/icebe.2013.77openalex-snapshot
Privacy Preserving Collaborative Filtering with k-Anonymity through Microaggregation
inferredcites →https://doi.org/10.1109/icsess.2013.6615356openalex-snapshot
A distributed anonymization scheme for privacy-preserving recommendation systems
inferredcites →https://doi.org/10.1109/imis.2012.141openalex-snapshot
Privacy-Preserving Collaborative Filtering Using Randomized Response
inferredcites →https://doi.org/10.1109/infocom.2014.6847945openalex-snapshot
FINE: A fine-grained privacy-preserving location-based service framework for mobile devices
inferredcites →https://doi.org/10.1109/med-hoc-net.2011.5970495openalex-snapshot
An efficient distributed privacy-preserving recommendation system
inferredcites →https://doi.org/10.1109/mines.2013.118openalex-snapshot
Privacy-Preserving Distributed Collaborative Filtering Using Random Orthogonal Transformation
inferredcites →https://doi.org/10.1109/percomw.2012.6197582openalex-snapshot
Private context-aware recommendation of points of interest: An initial investigation
inferredcites →https://doi.org/10.1109/secpri.2002.1004361openalex-snapshot
Collaborative filtering with privacy
inferredcites →https://doi.org/10.1109/sp.2011.40openalex-snapshot
"You Might Also Like:" Privacy Risks of Collaborative Filtering
inferredcites →https://doi.org/10.1109/trustcom.2013.271openalex-snapshot
P3MCF: Practical Privacy-Preserving Multi-domain Collaborative Filtering
inferredcites →https://doi.org/10.1109/uic-atc.2012.131openalex-snapshot
Accuracy of Privacy-Preserving Collaborative Filtering Based on Quasi-homomorphic Similarity
inferredcites →https://doi.org/10.1109/wetice.2013.55openalex-snapshot
Privacy-Preserving Collaborative Filtering on Overlapped Ratings
inferredcites →https://doi.org/10.1109/wifs.2013.6707795openalex-snapshot
Privacy-preserving recommender systems in dynamic environments
inferredcites →https://doi.org/10.1111/coin.12012openalex-snapshot
Privacy‐Preserving Naïve Bayesian Classifier–Based Recommendations on Distributed Data
inferredcites →https://doi.org/10.1137/1.9781611972764.6openalex-snapshot
Deriving Private Information from Randomly Perturbed Ratings
inferredcites →https://doi.org/10.1142/s0218194013500320openalex-snapshot
A SURVEY OF PRIVACY-PRESERVING COLLABORATIVE FILTERING SCHEMES
inferredcites →https://doi.org/10.1142/s0219622013500090openalex-snapshot
PRIVACY-PRESERVING RANDOM PROJECTION-BASED RECOMMENDATIONS BASED ON DISTRIBUTED DATA
inferredcites →https://doi.org/10.1145/1141277.1141407openalex-snapshot
A privacy preserving web recommender system
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/2245276.2245362openalex-snapshot
Feasibility of a privacy preserving collaborative filtering scheme on the Google App Engine
inferredcites →https://doi.org/10.1145/2361407.2361420openalex-snapshot
Privacy-preserving content-based recommender system
inferredcites →https://doi.org/10.1145/2365952.2365989openalex-snapshot
BlurMe
inferredcites →https://doi.org/10.1145/2492517.2492519openalex-snapshot
Differential privacy for neighborhood-based collaborative filtering
inferredcites →https://doi.org/10.1145/2554850.2554860openalex-snapshot
Privacy preserving trusted social feedback
inferredcites →https://doi.org/10.1145/2554850.2554924openalex-snapshot
Beyond personalization and anonymity
inferredcites →https://doi.org/10.1145/2695664.2695866openalex-snapshot
On the discovery of fake binary ratings
inferredcites →https://doi.org/10.1145/2751323.2751328openalex-snapshot
Collaborative filtering under a sybil attack
inferredcites →https://doi.org/10.1145/564376.564419openalex-snapshot
Collaborative filtering with privacy via factor analysis
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
inferredcites →https://doi.org/10.1186/2192-113x-1-8openalex-snapshot
Privacy preserving collaborative filtering for SaaS enabling PaaS clouds
inferredcites →https://doi.org/10.1201/b10373-22openalex-snapshot
Preserving Privacy in Web Recommender Systems
inferredcites →https://doi.org/10.12720/joams.1.1.54-60openalex-snapshot
Shilling Attacks against Privacy-Preserving Collaborative Filtering
inferredcites →https://doi.org/10.14569/ijacsa.2014.050432openalex-snapshot
Incorporating Auxiliary Information in Collaborative Filtering Data Update with Privacy Preservation
inferredcites →https://doi.org/10.1609/aaai.v28i1.8743openalex-snapshot
k-CoRating: Filling Up Data to Obtain Privacy and Utility
inferredcites →https://doi.org/10.2197/ipsjjip.21.617openalex-snapshot
Privacy-preserving Collaborative Filtering Using Randomized Response
inferredcites →https://doi.org/10.3837/tiis.2013.05.019openalex-snapshot
Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
inferredcites →https://doi.org/10.3837/tiis.2014.08.022openalex-snapshot
Privacy-Preserving Two-Party Collaborative Filtering on Overlapped Ratings
inferredcites →https://doi.org/10.3990/1.9789036535939openalex-snapshot
Cryptographically-enhanced privacy for recommender systems
inferredcites →https://doi.org/10.4018/978-1-60566-036-3.ch014openalex-snapshot
Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.610.717openalex-snapshot
Robust Analysis on a Privacy Preserving Recommendation Algorithm under the KNN Attack

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.70070openalex-snapshot
AI Price Tags and Privacy: When Your Data Sets Your Price
inferred← citeshttps://doi.org/10.1007/978-3-030-00012-7_63openalex-snapshot
Survey and Analysis of Cryptographic Techniques for Privacy Protection in Recommender Systems
inferred← citeshttps://doi.org/10.1007/s10207-023-00710-1openalex-snapshot
A systematic review of privacy techniques in recommendation systems
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/s10791-016-9284-4openalex-snapshot
Detecting shilling attacks in private environments
inferred← citeshttps://doi.org/10.1016/j.eswa.2016.11.018openalex-snapshot
Privacy-preserving collaborative recommendations based on random perturbations
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114366openalex-snapshot
Differentially private user-based collaborative filtering recommendation based on k-means clustering
inferred← citeshttps://doi.org/10.1016/j.procs.2016.08.091openalex-snapshot
Randomization-based Privacy-preserving Frameworks for Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/access.2016.2600258openalex-snapshot
Enforcing Differential Privacy for Shared Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/dsn.2018.00055openalex-snapshot
Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter!
inferred← citeshttps://doi.org/10.1109/icsgea.2016.81openalex-snapshot
E-Commerce Product Recommendation Method Based on Collaborative Filtering Technology
inferred← citeshttps://doi.org/10.1109/tem.2019.2944279openalex-snapshot
An Efficient Blockchain-Based Privacy-Preserving Collaborative Filtering Architecture
inferred← citeshttps://doi.org/10.1109/tsc.2016.2575825openalex-snapshot
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation
inferred← citeshttps://doi.org/10.1109/ubmk.2017.8093386openalex-snapshot
Methods of privacy preserving in collaborative filtering
inferred← citeshttps://doi.org/10.1504/ijbis.2017.084449openalex-snapshot
Privacy-preserving item-based recommendations over partitioned data with overlaps
inferred← citeshttps://doi.org/10.2495/dne-v11-n3-284-294openalex-snapshot
Privacy-preserving normalized ratings-based weighted slope one predictor
inferred← citeshttps://doi.org/10.32604/jcs.2025.069185openalex-snapshot
Evaluating the Level of Compliance with the Nigeria Data Protection Regulation (NDPR): Insights from Organizations across Key Sectors
inferred← citeshttps://doi.org/10.48550/arxiv.2003.08343openalex-snapshot
Survey of Privacy-Preserving Collaborative Filtering
inferred← citeshttps://doi.org/10.63282/3050-922x.ijeret-v1i1p106openalex-snapshot
Federated Learning in Collaborative Supply Chain Forecasting: A Privacy-Preserving Approach
inferred← citeshttps://doi.org/10.7287/peerj-cs.1438v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Robustness of privacy-preserving collaborative recommenders against popularity bias problem (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1438v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Robustness of privacy-preserving collaborative recommenders against popularity bias problem (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1438v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Robustness of privacy-preserving collaborative recommenders against popularity bias problem (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1438v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Robustness of privacy-preserving collaborative recommenders against popularity bias problem (v0.2)"
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.