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RECSYS
2015
ACM

Measuring the Concentration Reinforcement Bias of Recommender Systems

8 years 14 days ago
Measuring the Concentration Reinforcement Bias of Recommender Systems
In this paper, we propose new metrics to accurately measure the concentration reinforcement of recommender systems and the enhancement of the “long tail”. We also conduct a comparative analysis of various RS algorithms illustrating the usefulness of the proposed metrics. Keywords Dispersion; Diversity; Long Tail; Popularity Reinforcement
Panagiotis Adamopoulos, Alexander Tuzhilin, Peter
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where RECSYS
Authors Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos
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