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pro vyhledávání: '"Liu, Dairui"'
Autor:
Liu, Dairui, Du, Honghui, Yang, Boming, Hurley, Neil, Lawlor, Aonghus, Li, Irene, Greene, Derek, Dong, Ruihai
Pre-trained transformer models have shown great promise in various natural language processing tasks, including personalized news recommendations. To harness the power of these models, we introduce Transformers4NewsRec, a new Python framework built o
Externí odkaz:
http://arxiv.org/abs/2410.13125
Autor:
Liu, Dairui, Yang, Boming, Du, Honghui, Greene, Derek, Hurley, Neil, Lawlor, Aonghus, Dong, Ruihai, Li, Irene
News recommendations heavily rely on Natural Language Processing (NLP) methods to analyze, understand, and categorize content, enabling personalized suggestions based on user interests and reading behaviors. Large Language Models (LLMs) like GPT-4 ha
Externí odkaz:
http://arxiv.org/abs/2312.10463
Autor:
Gao, Fan, Jiang, Hang, Yang, Rui, Zeng, Qingcheng, Lu, Jinghui, Blum, Moritz, Liu, Dairui, She, Tianwei, Jiang, Yuang, Li, Irene
Publikováno v:
ACL 2024 Findings
Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significan
Externí odkaz:
http://arxiv.org/abs/2308.10410
Precisely recommending candidate news articles to users has always been a core challenge for personalized news recommendation systems. Most recent works primarily focus on using advanced natural language processing techniques to extract semantic info
Externí odkaz:
http://arxiv.org/abs/2307.06576
In recent years, many recommender systems have utilized textual data for topic extraction to enhance interpretability. However, our findings reveal a noticeable deficiency in the coherence of keywords within topics, resulting in low explainability of
Externí odkaz:
http://arxiv.org/abs/2306.07403
Publikováno v:
ACM Trans. Recomm. Syst. 1, 1, Article 1 (January 2024), 26 pages.
News recommender systems (NRS) have been widely applied for online news websites to help users find relevant articles based on their interests. Recent methods have demonstrated considerable success in terms of recommendation performance. However, the
Externí odkaz:
http://arxiv.org/abs/2306.07506
Many recent deep learning-based solutions have widely adopted the attention-based mechanism in various tasks of the NLP discipline. However, the inherent characteristics of deep learning models and the flexibility of the attention mechanism increase
Externí odkaz:
http://arxiv.org/abs/2203.07216
With the rise of big data technologies, many smart transportation applications have been rapidly developed in recent years including bus arrival time predictions. This type of applications help passengers to plan trips more efficiently without wastin
Externí odkaz:
http://arxiv.org/abs/2003.10373
Autor:
An, Yu, Du, Haiwen, Ma, Siteng, Niu, Yingjie, Liu, Dairui, Wang, Jing, Du, Yuhan, Childs, Conrad, Walsh, John, Dong, Ruihai
Publikováno v:
In Earth-Science Reviews July 2023
