mRHR: A Modified Reciprocal Hit Rank Metric for Ranking Evaluation of Multiple Preferences in Top-N Recommender Systems

Author:

Peker Serhat,Kocyigit Altan

Publisher

Springer International Publishing

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recommendation System for Personalized Contextual Pedagogical Resources Based on Learning Style;Lecture Notes in Networks and Systems;2024

2. Enhancing Learner Resource Recommendations on LMS through Context and Learning Style Analysis;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

3. Hawkes Process Multi-armed Bandits for Search and Rescue;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12

4. An overview and evaluation of citation recommendation models;Scientometrics;2021-03-02

5. SOS-EW: System for Overdose Spike Early Warning Using Drug Mover’s Distance-Based Hawkes Processes;Machine Learning and Knowledge Discovery in Databases;2020

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