From Zero to Hero: Cold-Start Anomaly Detection.
Tal ReissGeorge KourNaama ZwerdlingAteret Anaby-TavorYedid HoshenPublished in: ACL (Findings) (2024)
Keyphrases
- anomaly detection
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- intrusion detection
- data sparsity
- anomalous behavior
- detecting anomalies
- tag recommendation
- implicit feedback
- network traffic
- user preferences
- data sparseness
- network intrusion detection
- intrusion detection system
- network anomaly detection
- negative selection algorithm
- user ratings
- matrix factorization
- bayesian networks
- personalized recommendation
- recommendation algorithms
- unsupervised learning
- web search
- detect anomalies
- hidden markov models
- one class support vector machines