Top-N-Targets-Balanced Recommendation Based on Attentional Sequence-to-Sequence Learning
User's behaviors and preferences alter with the temporal evolution dynamically, which leads to low performance, such as the Hit Rate and Normalized Discounted Cumulative Gain (NDCG). Understanding the dynamics of users' behaviors and preferences can improve the performance of recommendatio...
Main Authors: | Xingkai Wang, Yiqiang Sheng, Haojiang Deng, Zhenyu Zhao |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8813042/ |
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