BiLSTCAN: A Novel SRS-Based Bidirectional Long Short-Term Capsule Attention Network for Dynamic User Preference and Next-Item Recommendation
Numerous research efforts are endeavoring to boost the performance of dynamic user preferences and next-item recommendations, which are pivotal tasks within sequential recommender systems. It is a challenging research problem in recommender systems. However, the majority of research faces notable hu...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10384332/ |