LARGE: A leadership perception framework for group recommendation
Group recommendation systems are crucial in applications such as group travel or collective
entertainment. Conventional approaches have achieved notable success by matching the …
entertainment. Conventional approaches have achieved notable success by matching the …
Enhancing group recommender systems: A fusion of social tagging and collaborative filtering for cohesive recommendations
This study examines the challenges and opportunities of using group recommendation
systems in an information overload scenario. Social network recommendation systems are …
systems in an information overload scenario. Social network recommendation systems are …
DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group Recommendation
Group recommendation aims to suggest items to a group of users that are suitable for the
group. Although some existing powerful deep learning models have achieved improved …
group. Although some existing powerful deep learning models have achieved improved …
基于深度学**的群组推荐方法研究综述
郑楠， 章颂， 刘玉桥， 王雨桐， 王飞跃 - 自动化学报, 2024 - aas.net.cn
群组推荐(Group recommendation) 在信息检索与数据挖掘领域**年来备受关注,
其旨在从海量候选集中挑选出一组用户可能感兴趣的项目. 随着深度学**技术的不断发展 …
其旨在从海量候选集中挑选出一组用户可能感兴趣的项目. 随着深度学**技术的不断发展 …
Learning protein language contrastive models with multi-knowledge representation
W Xu, Y ** proteins and drugs …
A fine-tuning prototypical network for few-shot cross-domain fault diagnosis
J Zhong, K Gu, H Jiang, W Liang… - … Science and Technology, 2024 - iopscience.iop.org
With the continuous development of computer technology, deep learning has been widely
used in fault diagnosis and achieved remarkable results. However, in actual production, the …
used in fault diagnosis and achieved remarkable results. However, in actual production, the …
Sistemas de recomendación flexibles dependientes de usuario
B Ortiz Viso - 2024 - digibug.ugr.es
Recommender systems are ubiquitous in today's technological landscape, integral to
various services. Their prevalence is driven by the massive flow of information on the …
various services. Their prevalence is driven by the massive flow of information on the …