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A sampling approach to Debiasing the offline evaluation of recommender systems
Diego Carraro
, Derek Bridge
School of Computer Science and Information Technology
Insight Research Ireland Centre for Data Analytics
University College Cork
Research output
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Computer Science
Recommender System
100%
Sampling Approach
100%
Random Test
75%
Performance Metric
25%
Systems Performance
25%
Historical Data
25%
User Data
25%
Data Collection Process
25%
Mathematics
Missing At Random
100%
Test Data
100%
Test Set
33%
Historical Data
33%
Confounders
33%
Generality
33%
Confounding
33%