GCZRec: Generative Collaborative Zero-Shot Framework for Cold Start News Recommendation-Reference-Cited by-同舟云学术

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GCZRec: Generative Collaborative Zero-Shot Framework for Cold Start News Recommendation

Published:2024 Issue: Volume:12 Page:16610-16620
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hassan Syed Zain Ul¹^ORCID,Rafi Muhammad¹^ORCID,Frnda Jaroslav²^ORCID

Affiliation:

1. Department of Computer Science, School of Computing, National University of Computer and Emerging Sciences, Islamabad, Pakistan

2. Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Žilina, Žilina, Slovakia

Funder

European Union within the REFRESH Project—Research Excellence for Region Sustainability and High-Tech Industries of the European Just Transition Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10414986.pdf?arnumber=10414986

Reference40 articles.

1. Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19

2. News Recommendation Systems in the Era of Information Overload

3. A utility-based news recommendation system

4. Using collaborative filtering to weave an information tapestry

5. Advances in Collaborative Filtering

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of Recommender System Using Generative Artificial Intelligence: A Systematic Literature Review;IEEE Access;2024

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