recommender systems

biblio

Inference of Suspicious Co-Visitation and Co-Rating Behaviors and Abnormality Forensics for Recommender Systems

Submitted by grigby1 on Thu, 04/08/2021 - 5:10pm

security of data
collaboration
Anomaly Detection
Data mining
time series
pubcrawl
Human behavior
Metrics
resilience
Resiliency
malicious users
Scalability
Attack detection
Measurement
Forensics
Couplings
graph theory
Time series analysis
recommender systems
information forensics
association rules
ubiquitous computing
recommender system
electronic commerce
malicious attack
abnormality forensics
co-rating behaviors
co-rating graphs
e-commerce services
forensics metrics including distribution
fundamental vulnerabilities
historical ratings
inference
malicious attack behaviors
personalized collaborative recommender systems
pervasiveness
rating intention
real-world data
spotting anomalies
structure-based property
suspicious co-visitation behavior
suspicious nodes
suspicious ratings
unified detection framework

biblio

Facial Emotion Recognition Using Deep Convolutional Neural Network

Submitted by grigby1 on Mon, 03/29/2021 - 1:03pm

facial recognition
Adam
Artificial Intelligence
Brain modeling
classification
classification systems
Computational modeling
convolution
convolutional neural nets
convolutional neural networks
deep convolutional neural network
deep learning algorithms
emotion recognition
face recognition
facial emotion recognition
feedback analysis
Human behavior
human facial emotions
image classification
learning (artificial intelligence)
machine learning
Metrics
Pattern recognition
pubcrawl
recommendation systems
recommender systems
resilience
Resiliency

biblio

An Improved Collaborative Filtering Recommendation Algorithm Based on Differential Privacy

Submitted by aekwall on Mon, 01/11/2021 - 1:40pm

Scalability
data privacy
Resiliency
Human behavior
pubcrawl
composability
collaborative filtering
privacy
Prediction algorithms
Stochastic processes
software engineering
Predictive models
differential privacy
privacy protection
recommender systems
Perturbation methods
gradient methods
differential privacy protection
Matrix decomposition
matrix factorization
centralized recommendation
collaborative filtering recommendation model
differential privacy constraint
differential privacy matrix factorization model
MovieLens
Netflix
noise matrix factorization model
potential characteristic matrix
recommendation accuracy loss
recommendation systems
stochastic gradient descent algorithm
ε-differential privacy

biblio

Research of Personalized Recommendation Algorithm Based on Trust and User's Interest

Submitted by grigby1 on Tue, 12/01/2020 - 1:36pm

Robot Trust
Accuracy
Clustering algorithms
collaboration
filtering algorithms
History
Human behavior
Human Factors
joint interest-content recommendation
Motion pictures
online video site
pattern clustering
personalized recommendation algorithm
Prediction algorithms
pubcrawl
recommender systems
resilience
Resiliency
robust trust
social networking (online)
sparse subspace clust algorithm
trust
trust similarity
Trusted Computing
trustworthyness model
user interest
Videos

biblio

Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System

Submitted by grigby1 on Tue, 12/01/2020 - 1:33pm

Robot Trust
Australia
collaboration
Decision Making
ecological validity
Human behavior
Human Factors
human users collaborate
human-robot interaction
increases user trust
mobile robots
nonoptimal choice
perceived source credibility
preference elicitation
pubcrawl
recommender systems
resilience
Resiliency
restaurant recommender system
robot recommender system
robust trust
Technological innovation
trust
Trusted Computing
user acceptance
user decision making
user engagement

biblio

A Novel Personalized Recommendation Algorithm Based on Trust Relevancy Degree

Submitted by aekwall on Mon, 11/23/2020 - 11:39am

Trusted Computing
pubcrawl
collaborative filtering
Social network services
social networking (online)
internet
Prediction algorithms
Training
Filtering
Data mining
trust
collaboration
data science
data sparsity
recommender systems
electronic commerce
Matrix decomposition
Human behavior
human trust
Dianping datasets
ecommerce
matrix factorization
novel personalized recommendation algorithm
personal characteristics
personalized recommendation
personalized recommendation technology
social network information
Social trust
trust relevancy degree

biblio

Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk

Submitted by aekwall on Mon, 10/12/2020 - 11:32am

data privacy
dynamic recommender algorithm
Expert Systems and Privacy
FourSquare shopping data sets
Human behavior
Human Factors
lazy random walk
local expert
pagerank
pubcrawl
recommender systems
Scalability
social contacts interactions
Statistics
statistics based privacy-aware recommender systems
top-rank shopping places

biblio

An approach to Privacy on Recommended Systems

Submitted by aekwall on Mon, 10/12/2020 - 11:31am

security
Scalability
History
Human behavior
pubcrawl
privacy
Facebook
social networking (online)
internet
Data protection
social networks
Companies
data privacy
user security
Human Factors
user privacy
recommender systems
Europe
expert systems
website
online companies
privacy protection techniques
recommended systems
referral systems
users personal information
Expert Systems and Privacy

biblio

An Efficient Recommender System by Integrating Non-Negative Matrix Factorization With Trust and Distrust Relationships

Submitted by grigby1 on Mon, 10/05/2020 - 2:11pm

collaborative filtering
Complexity theory
computer theory
convergence
distrust relationships
Human Factors
Linear programming
Matrix decomposition
matrix factorization
MF-based recommenders
nonnegative matrix factorization framework
optimization
pubcrawl
recommender system
recommender systems
resilience
Resiliency
Scalability
security
social regularization method
Social trust
social trust information
Sparse matrices
Task Analysis
trust relationships
user-item ratings

biblio

Collaborative Filtering Algorithm Based on Trust and Information Entropy

Submitted by grigby1 on Mon, 10/05/2020 - 2:10pm

collaboration
collaborative filtering
collaborative filtering algorithm
computer theory
Entropy
Filtering
filtering algorithms
Human behavior
human computer interaction
Human Factors
human trust
information entropy
information entropy theory
Pearson similarity
Prediction algorithms
pubcrawl
recommendation system
recommender systems
resilience
Resiliency
robots
Scalability
security
time decay
time decay function
trust
trust relationship
trust similarity
weighted information entropy

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Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

recommender systems

Inference of Suspicious Co-Visitation and Co-Rating Behaviors and Abnormality Forensics for Recommender Systems

Facial Emotion Recognition Using Deep Convolutional Neural Network

An Improved Collaborative Filtering Recommendation Algorithm Based on Differential Privacy

Research of Personalized Recommendation Algorithm Based on Trust and User's Interest

Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System

A Novel Personalized Recommendation Algorithm Based on Trust Relevancy Degree

Finding Local Experts for Dynamic Recommendations Using Lazy Random Walk

An approach to Privacy on Recommended Systems

An Efficient Recommender System by Integrating Non-Negative Matrix Factorization With Trust and Distrust Relationships

Collaborative Filtering Algorithm Based on Trust and Information Entropy