Fraudulent user detection on rating networks based on expanded balance theory and GCNs.
Wataru KudoMao NishiguchiFujio ToriumiPublished in: ASONAM (2019)
Keyphrases
- collaborative filtering
- social networks
- user interaction
- user preferences
- user interface
- automatic detection
- recommender systems
- user feedback
- data mining
- object detection
- detection algorithm
- user ratings
- end users
- theoretical framework
- user defined
- information systems
- user satisfaction
- neural network
- active user
- user input
- network design
- detection accuracy
- false alarms
- collaborative filtering recommender systems
- user interests
- computer networks
- detection rate
- complex networks
- complex systems
- face detection
- intrusion detection
- web search