A5047586146- Topic Modeling
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Cybercrime and Law Enforcement Studies
- Advanced Graph Neural Networks
- Advanced Malware Detection Techniques
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Data Stream Mining Techniques
- Advanced Bandit Algorithms Research
- Public Relations and Crisis Communication
IBM (United States)
2020-2024
Florida International University
2018
Online interactive recommender systems strive to promptly suggest consumers appropriate items (e.g., movies, news articles) according the current context including both consumer and item content information. However, such information is often unavailable in practice for recommendation, where only users' interaction data on can be utilized. Moreover, lack of records, especially new users items, worsens performance recommendation further. To address these issues, collaborative filtering (CF),...
In recent years, social media has emerged as a pivotal source of emergency response for natural disasters. Causal analysis disaster sub-events is one crucial concerns. However, the design and implementation its application scenario present significant challenges, due to intricate nature events information overload. this work, we introduce GRACE, system designed generating cause effect from text. GRACE aims provide rapid, comprehensive, real-time intelligence. Different conventional digestion...