Alleviating the cold-start problem of recommender systems using a new hybrid approach

Author:

Basiri Javad,Shakery Azadeh,Moshiri Behzad,Zi Hayat Morteza

Publisher

IEEE

Cited by 17 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. Co-clustering method for cold start issue in collaborative filtering movie recommender system;Multimedia Tools and Applications;2024-09-13

2. Recommendation Systems in Education;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18

3. Do you mind if I ask?;Proceedings of the 21th ACM International Conference on Intelligent Virtual Agents;2021-09-14

4. Using text mining algorithms in identifying emerging trends for recommender systems;Quality & Quantity;2021-05-31

5. An optimized item-based collaborative filtering algorithm;Journal of Ambient Intelligence and Humanized Computing;2021-01-23

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