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...

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Bibliographic Details
Main Authors: Ya-Hui An, Qiang Dong, Quan Yuan, Chao Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9050785/

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