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Simultaneous co-clustering and learning to address the cold start problem in recommender systems

机译：同时进行聚类和学习以解决推荐系统中的冷启动问题

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Pereira Andre Luiz Vizine; Hruschka Eduardo Raul;
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年度 2015
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原文格式 PDF
正文语种 eng
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专利

1. Simultaneous co-clustering and learning to address the cold start problem in recommender systems [J] . Vizine Pereira Andre Luiz, Hruschka Eduardo Raul Knowledge-Based Systems . 2015,第jula期

机译：同时进行联合聚类和学习以解决推荐系统中的冷启动问题
2. Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems [J] . Joanna Misztal-Radecka, Bipin Indurkhya, Aleksander Smywihski-Pohl User modeling and user-adapted interaction . 2021,第2期

机译：Meta-User2VEC模型用于在推荐系统中寻址用户和项目冷启动问题
3. Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook [J] . Forouzandeh Saman, Aghdam Atae Rezaei, Forouzandeh Soran, Computing in science & engineering . 2020,第4期

机译：使用数据挖掘技术解决冷启动问题，并通过Cuckoo算法改进推荐系统：Facebook的案例研究
4. Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks [C] . Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev IEEE International Conference on Big Data . 2020

机译：通过分层图形神经网络解决额外的COLL开始
5. Efficiency in Machine Learning with Focus on Deep Learning and Recommender Systems [D] . Nesky, Amy. 2020

机译：机器学习效率，专注于深度学习和推荐系统
6. Promoting Cold-Start Items in Recommender Systems [O] . Jin-Hu Liu, Tao Zhou, Zi-Ke Zhang, -1

机译：促进推荐系统中的冷启动项
7. Simultaneous co-clustering and learning to address the cold start problem in recommender systems [O] . Pereira Andre Luiz Vizine, Hruschka Eduardo Raul 2015

机译：同时进行聚类和学习以解决推荐系统中的冷启动问题

Simultaneous co-clustering and learning to address the cold start problem in recommender systems

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