Novelty and Diversity in Recommender Systems

Author:

Castells Pablo,Hurley Neil J.,Vargas Saul

Publisher

Springer US

Cited by 126 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. Efficient and Flexible Long-Tail Recommendation Using Cosine Patterns;INFORMS Journal on Computing;2024-05-10

2. State of art and emerging trends on group recommender system: a comprehensive review;International Journal of Multimedia Information Retrieval;2024-05-02

3. Exploration Principles for Decision-Making Systems with Binary Feedbacks;2024 IEEE International Systems Conference (SysCon);2024-04-15

4. User-Centric Evaluation of Novelty and Explanation Aspects of Recommender Systems in an Indonesia E-commerce Platform Based on Perceived Usefulness;2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT);2024-02-28

5. Beyond accuracy measures: the effect of diversity, novelty and serendipity in recommender systems on user engagement;Electronic Commerce Research;2024-02-18

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