Communication-efficient federated recommendation model based on many-objective evolutionary algorithm

FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering

(2021) Enyue Yang et al.   KNOWLEDGE-BASED SYSTEMS

Explainable recommendation based on knowledge graph and multi-objective optimization

(2021) Lijie Xie et al.   Complex & Intelligent Systems

A many‐objective integrated evolutionary algorithm for feature selection in anomaly detection

(2020) Zhixia Zhang et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges

(2020) Shiva Raj Pokhrel et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios

(2020) Zhihua Cui et al.   IEEE Transactions on Services Computing

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

(2020) Yi Liu et al.   IEEE Internet of Things Journal

A many-objective optimization recommendation algorithm based on knowledge mining

(2020) Xingjuan Cai et al.   INFORMATION SCIENCES

A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things

(2020) Xingjuan Cai et al.   IEEE Internet of Things Journal

A Novel Many-objective Evolutionary Algorithm Based on Transfer Matrix with Kriging model

(2019) Lianbo Ma et al.   INFORMATION SCIENCES

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Feature subset selection combining maximal information entropy and maximal information coefficient

(2019) Kangfeng Zheng et al.   APPLIED INTELLIGENCE

Multi-Objective Evolutionary Federated Learning

(2019) Hangyu Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

(2019) Jed Mills et al.   IEEE Internet of Things Journal

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

(2019) Yang Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

A novel recommendation method based on social network using matrix factorization technique

(2018) Chonghuan Xu   INFORMATION PROCESSING & MANAGEMENT

Personalized recommendation by matrix co-factorization with tags and time information

(2018) Ling Luo et al.   EXPERT SYSTEMS WITH APPLICATIONS

iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization

(2017) Yin Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

(2017) Ye Tian et al.   IEEE Computational Intelligence Magazine

Social Collaborative Filtering by Trust

(2017) Bo Yang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

(2016) Ran Cheng et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Recommender system application developments: A survey

(2015) Jie Lu et al.   DECISION SUPPORT SYSTEMS

Unified Collaborative and Content-Based Web Service Recommendation

(2015) Lina Yao et al.   IEEE Transactions on Services Computing

Tuning metadata for better movie content-based recommendation systems

(2014) Márcio Soares et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A survey of collaborative filtering based social recommender systems

(2013) Xiwang Yang et al.   COMPUTER COMMUNICATIONS

Recommender systems survey

(2013) J. Bobadilla et al.   KNOWLEDGE-BASED SYSTEMS