Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents

Author:

Ghosh Roy Sayar1,Padhi Anshul1,Jain Risubh1,Gupta Manish2,Varma Vasudeva1

Affiliation:

1. Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India

2. Information Retrieval and Extraction Lab, International Institute of Information Technology, Hyderabad, India and Microsoft, India

Publisher

ACM

Reference44 articles.

1. Raza Abidi , Yonglin Xu , Jianyue Ni , Wang Xiangmeng , and wu Zhang. 2020. Popularity prediction of movies: from statistical modeling to machine learning techniques. Multimedia Tools and Applications 79 (12 2020 ), 1–35. https://doi.org/10.1007/s11042-019-08546-5 Raza Abidi, Yonglin Xu, Jianyue Ni, Wang Xiangmeng, and wu Zhang. 2020. Popularity prediction of movies: from statistical modeling to machine learning techniques. Multimedia Tools and Applications 79 (12 2020), 1–35. https://doi.org/10.1007/s11042-019-08546-5

2. A peek into the future

3. Anthony Chen , Pallavi Gudipati , Shayne Longpre , Xiao Ling , and Sameer Singh . 2021. Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP . In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics , Online , 4472–4485. https://doi.org/10. 1865 3/v1/2021.acl-long.345 Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, and Sameer Singh. 2021. Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 4472–4485. https://doi.org/10.18653/v1/2021.acl-long.345

4. Abstractive Snippet Generation

5. Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arxiv:1412.3555 [cs.NE] Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arxiv:1412.3555 [cs.NE]

Cited by 3 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. News Popularity Beyond the Click-Through-Rate for Personalized Recommendations;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

2. Predicting the Popularity of Online News Based on the Dynamic Fusion of Multiple Features;Computers, Materials & Continua;2023

3. Invited Talk: On Proactive Sentence Specific Popularity Forecasting;7th International Workshop on Social Media World Sensors;2022-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3