Evaluating Top-N Recommendations Using Ranked Error Approach: An Empirical Analysis

Evaluation metrics or measures are necessary tools for evaluating and choosing the most appropriate modeling approaches within recommender systems. However, evaluation measures can sometimes fall short when evaluating recommendation lists that best match users’ top preferences. A possible...

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Bibliographic Details
Main Authors: Sofia Aftab, Heri Ramampiaro
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9734059/