Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Nowadays, recommender systems (RSes) are becoming increasingly important to individual users and business marketing, especially in the online e-commerce scenarios. However, while the majority of recommendation algorithms proposed in the literature have focused their efforts on improving prediction a...
Main Authors: | Ya-Hui An, Qiang Dong, Quan Yuan, Chao Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9050785/ |
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