The paper explores the field of news recommendation, a crucial component of online information sharing. It defines the problem, summarises current methods, and introduces a new approach, the News Recommendation with Attention Mechanism (NRAM). The research demonstrates that NRAM has the potential to significantly enhance the personalization of news content for users on digital platforms. The paper also discusses the challenges of managing transient news content, using natural language processing techniques, deducing user preferences from implicit signals, and engineering aspects of scaling news recommendation systems.
Publication date: 13 Feb 2024
Project Page: DOI not provided
Paper: https://arxiv.org/pdf/2402.07422
