Hybrid convolutional neural network (CNN) and long-short term memory (LSTM) based deep learning model for detecting shilling attack in the social-aware network

Detecting shilling attacks in social recommender systems based on time series analysis and trust features

(2019) Yishu Xu et al.   KNOWLEDGE-BASED SYSTEMS

Detecting shilling attacks in recommender systems based on analysis of user rating behavior

(2019) Hongyun Cai et al.   KNOWLEDGE-BASED SYSTEMS

Detecting Shilling Attacks with Automatic Features from Multiple Views

(2019) Yaojun Hao et al.   Security and Communication Networks

A shilling attack detector based on convolutional neural network for collaborative recommender system in social aware network

(2018) Chao Tong et al.   COMPUTER JOURNAL

A novel social network measurement and perception pattern based on a multi-agent and convolutional neural network

(2018) Li Zhu   COMPUTERS & ELECTRICAL ENGINEERING

Collaborative filtering recommendation based on trust and emotion

(2018) Liangmin Guo et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Shilling attack detection for recommender systems based on credibility of group users and rating time series

(2018) Wei Zhou et al.   PLoS One

A trust-based collaborative filtering algorithm for E-commerce recommendation system

(2018) Liaoliang Jiang et al.   Journal of Ambient Intelligence and Humanized Computing

Shilling attack based on item popularity and rated item correlation against collaborative filtering

(2018) Keke Chen et al.   International Journal of Machine Learning and Cybernetics

Detecting abnormal profiles in collaborative filtering recommender systems

(2016) Zhihai Yang et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

(2016) Longbing Cao   Engineering

Ensemble detection model for profile injection attacks in collaborative recommender systems based on BP neural network

(2015) Fuzhi Zhang et al.   IET Information Security

Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems

(2015) Wei Wang et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

An ensemble method for detecting shilling attacks based on ordered item sequences

(2015) Fuzhi Zhang et al.   Security and Communication Networks

Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis

(2015) Wei Zhou et al.   PLoS One

Shilling attacks against recommender systems: a comprehensive survey

(2012) Ihsan Gunes et al.   ARTIFICIAL INTELLIGENCE REVIEW