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Neural Contextual Bandits for Personalized Recommendation
Yikun Ban
, Yunzhe Qi
,
Jingrui He
School of Information Sciences
Siebel School of Computing and Data Science
National Center for Supercomputing Applications (NCSA)
Informatics
Research output
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Keyphrases
Personalized Recommendation
100%
Contextual Bandits
100%
Neural Model
20%
Recommender Systems
20%
Neural Network
10%
Performance Guarantee
10%
User Experience
10%
User-centric
10%
Increasing Complexity
10%
Dynamic Landscape
10%
Emerging Challenges
10%
Advanced Algorithm
10%
Supervised Learning
10%
Collaborative Strategies
10%
Recommendation Approach
10%
Matthew Effect
10%
Rich-get-richer
10%
Modelling User Preference
10%
Online Business
10%
Network Benefits
10%
Linear Contextual Bandits
10%
User Heterogeneity
10%
User Correlation
10%
Business Recommender System
10%
Computer Science
Recommender Systems
100%
Performance Guarantee
33%
Neural Network
33%
User Experience
33%
User Preference
33%
Supervised Learning
33%
Psychology
Neural Network
100%
Matthew Effect
100%