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cs.IR2023
BHEISR: Nudging from Bias to Balance -- Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations
Mengyan Wang, Yuxuan Hu, Zihan Yuan +4
In the realm of personalized recommendation systems, the increasing concern is the amplification of belief imbalance and user biases, a phenomenon primarily attributed to the filte…
cs.IR2020
Scientific Paper Recommendation: A Survey
Xiaomei Bai, Mengyang Wang, Ivan Lee +3
Globally, recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a lar…