Related papers: News Recommendation with Attention Mechanism

News Recommendation with Attention Mechanism

URL: http://arxiv.org/abs/2402.07422v2
Date: Tue, 20 Feb 2024 02:46:17 GMT
Title: News Recommendation with Attention Mechanism
Authors: Tianrui Liu, Changxin Xu, Yuxin Qiao, Chufeng Jiang, Weisheng Chen
Abstract summary: We present our work on implementing the NRAM (News Recommendation with Attention Mechanism), an attention-based approach for news recommendation. Our evaluation shows that NRAM has the potential to significantly improve how news content is personalized for users on digital news platforms.
Score: 3.255950854798191
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: This paper explores the area of news recommendation, a key component of online information sharing. Initially, we provide a clear introduction to news recommendation, defining the core problem and summarizing current methods and notable recent algorithms. We then present our work on implementing the NRAM (News Recommendation with Attention Mechanism), an attention-based approach for news recommendation, and assess its effectiveness. Our evaluation shows that NRAM has the potential to significantly improve how news content is personalized for users on digital news platforms.

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