A Learned Approach for Ranking News in Real-Time Using the Blogosphere

被引：0
|
作者：
McCreadie, Richard [1 ]
Macdonald, Craig [1 ]
Ounis, Iadh [1 ]
机构：
[1] Univ Glasgow, Sch Comp Sci, Glasgow G12 8QQ, Lanark, Scotland
来源：
STRING PROCESSING AND INFORMATION RETRIEVAL | 2011年 / 7024卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Newspaper websites and news aggregators rank news stories by their newsworthiness in real-time for display to the user. Recent work has shown that news stories can be ranked automatically in a retrospective manner based upon related discussion within the blogosphere. However, it is as yet undetermined whether blogs are sufficiently fresh to rank stories in real-time. In this paper, we propose a novel learning to rank framework which leverages current blog posts to rank news stories in a real-time manner. We evaluate our proposed learning framework within the context of the TREC Blog track top stories identification task. Our results show that, indeed, the blogosphere can be leveraged for the real-time ranking of news, including for unpredictable events. Our approach improves upon state-of-the-art story ranking approaches, outperforming both the best TREC 2009/2010 systems and its single best performing feature.
引用
收藏
页码：104 / 116
页数：13
相关论文
共 50 条
  • [1] Stock prediction: Integrating text mining approach using real-time news
    Fung, GPC
    Yu, JX
    Lam, W
    2003 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING, PROCEEDINGS, 2003, : 395 - 402
  • [2] Real-time user interest modeling for real-time ranking
    Liu, Xiaozhong
    Turtle, Howard
    JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2013, 64 (08): : 1557 - 1576
  • [3] A computational approach for real-time detection of fake news
    Zhang, Chaowei
    Gupta, Ashish
    Qin, Xiao
    Zhou, Yi
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 221
  • [4] Real-time Ranking with Concept Drift Using Expert Advice
    Becker, Hila
    Arias, Marta
    KDD-2007 PROCEEDINGS OF THE THIRTEENTH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2007, : 86 - 94
  • [5] Real-time Personalization using Embeddings for Search Ranking at Airbnb
    Grbovic, Mihajlo
    Cheng, Haibin
    KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2018, : 311 - 320
  • [6] A real-time approach to array control based on a learned genetic algorithm
    Caorsi, S
    Donelli, M
    Lommi, A
    Massa, A
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2003, 36 (04) : 235 - 238
  • [7] News Monitor: A Framework for Exploring News in Real-Time
    Panagiotou, Nikolaos
    Saravanou, Antonia
    Gunopulos, Dimitrios
    DATA, 2022, 7 (01)
  • [8] Real-time Internet news service
    不详
    ONLINE & CDROM REVIEW, 1997, 21 (04): : 248 - 248
  • [9] Real-time contingency evaluation and ranking technique
    Moghavvemi, M
    Faruque, O
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1998, 145 (05) : 517 - 524
  • [10] Relevance Ranking for Real-Time Tweet Search
    Xia, Yan
    Sun, Yu
    Wang, Tian
    Carvajal, Juan Caicedo
    Fan, Jinliang
    Mangipudi, Bhargav
    Huang, Lisa
    Saraf, Yatharth
    CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, 2020, : 2829 - 2836
12345