Hierarchical temporal convolutional networks for dynamic recommender systems

J You, Y Wang, A Pal, P Eksombatchai… - The world wide web …, 2019 - dl.acm.org
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …
被引用次数：158 相关文章
[PDF] stanford.edu

[PDF][PDF] Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J You, Y Wang, A Pal, P Eksombatchai, C Rosenberg… - 2019 - www-cs-faculty.stanford.edu
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J You, Y Wang, A Pal, P Eksombatchai… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J You, Y Wang, A Pal, P Eksombatchai… - arXiv preprint arXiv …, 2019 - arxiv.org
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …
[PDF] amazonaws.com

[PDF][PDF] Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J You, Y Wang, A Pal, P Eksombatchai… - 2019 - cdn-static.findly.com.s3.amazonaws …
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …
[PDF] stanford.edu

[PDF][PDF] Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J You, Y Wang, A Pal, P Eksombatchai, C Rosenberg… - 2019 - www-cs.stanford.edu
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …
[PDF] stanford.edu

[PDF][PDF] Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

J You, Y Wang, A Pal, P Eksombatchai, C Rosenberg… - 2019 - www-cs.stanford.edu
Recommender systems that can learn from cross-session data to dynamically predict the
next item a user will choose are crucial for online platforms. However, existing approaches …