research
∙
07/06/2023
BHEISR: Nudging from Bias to Balance – Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations
In the realm of personalized recommendation systems, the increasing conc...
share
research
∙
02/02/2023
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
Online social media platforms offer access to a vast amount of informati...
research
∙
11/07/2022
Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022)
Over the past two decades, PKAW has provided a forum for researchers and...
research
∙
03/17/2022
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks
In recent years, providing incentives to human users for attracting thei...
research
∙
07/13/2021
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
In recent years, recommendation systems have been widely applied in many...
research
∙
04/14/2021