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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9734059/ |