Research talk: Recommender Systems and Fake News Mitigation|22 Jan 2024

Title: Recommender Systems and Fake News Mitigation

Speaker: Prof. Yan Wang, a renowned researcher and full Professor at Macquarie University’s School of Computing who specializes in trust management, recommender systems, social computing, and service computing. He explores recommender systems' ability to predict user preferences and mitigate fake news using two cross-domain studies: Single-Target Recommender Systems and Dual-Target Recommender Systems.

Description: Prof. Yan Wang explores recommender systems' ability to predict user preferences and mitigate fake news. He introduces two cross-domain studies: Single-Target Recommender Systems, improving accuracy by transferring user features from data-rich to data-sparse domains, and Dual-Target Recommender Systems, a bi-directional transfer framework enhancing performance in both domains. Additionally, he presents a novel approach to differentiate and recommend accurate news using historical data.