AM-Bi-LSTM: Adaptive Multi-Modal Bi-LSTM for Sequential Recommendation

AM-Bi-LSTM: Adaptive Multi-Modal Bi-LSTM for Sequential Recommendation

Conventional methods for the early fusion of multi-modal features cannot recognize the relevant modality corresponding to the demand of each user in sequential recommendation. In this paper, we propose the adaptive multi-modal bidirectional long short-term memory network (AM-Bi-LSTM) to recognize th...

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Bibliographic Details
Main Authors: Kazuma Ohtomo, Ryosuke Harakawa, Masaki Iisaka, Masahiro Iwahashi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sequential recommendation
multi-modal processing
deep learning
Online Access:https://ieeexplore.ieee.org/document/10403915/

Internet

https://ieeexplore.ieee.org/document/10403915/

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