2 citations · 6 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization
Guan Wang, Weihua Li, Edmund M-K. Lai +1
The rapid growth of information on the Internet has led to an overwhelming amount of opinions and comments on various activities, products, and services. This makes it difficult an…
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis
Jingli Shi, Weihua Li, Quan Bai +2
Aspect term extraction is a fundamental task in fine-grained sentiment analysis, which aims at detecting customer's opinion targets from reviews on product or service. The traditio…
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
Mengyan Wang, Weihua Li, Jingli Shi +2
Online social media platforms offer access to a vast amount of information, but sifting through the abundance of news can be overwhelming and tiring for readers. personalised recom…