Using Twitter Data to Improve News Results on Search Engine

被引：0
作者：
Santoso, Abraham Krisnanda [1 ]
Saptawati, Gusti Ayu Putri [1 ]
机构：
[1] Inst Teknol Bandung, Informat Comp Sci, Bandung, Indonesia
来源：
2014 INTERNATIONAL CONFERENCE ON DATA AND SOFTWARE ENGINEERING (ICODSE) | 2014年
关键词：
news results; CTR; clicks; Twitter; recent news;
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：
Web search results often consist of web results and news results. News results are displayed based on measurement of click-through Rate (CTR), a comparison between clicks and views of content. In other words, the more clicks obtained by content, the probability of that content appear, as news results will be higher. The CTR measurement is not effective for recent news due to recent news only have few clicks. On the other hand, a micro-blogging platform Twitter has short, real-time, wide coverage of news. In this paper, we use Twitter data to improve news results, so the recent news can have higher probability to appear on news results.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Improving Recency Ranking Using Twitter Data
    Chang, Yi
    Dong, Anlei
    Kolari, Pranam
    Zhang, Ruiqiang
    Inagaki, Yoshiyuki
    Diaz, Fernanodo
    Zha, Hongyuan
    Liu, Yan
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2013, 4 (01)
  • [22] Gender Classification using Twitter Text Data
    Vashisth, Pradeep
    Meehan, Kevin
    2020 31ST IRISH SIGNALS AND SYSTEMS CONFERENCE (ISSC), 2020, : 56 - 61
  • [23] Analyzing Political Sentiment Using Twitter Data
    Bose, Rajesh
    Dey, Raktim Kumar
    Roy, Sandip
    Sarddar, Debabrata
    INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS, ICTIS 2018, VOL 2, 2019, 107 : 427 - 436
  • [24] Litigation Risk Detection Using Twitter Data
    Diao, Chengyuan
    Liang, Rachel
    Sharma, Deepak
    Cui, Qingbin
    JOURNAL OF LEGAL AFFAIRS AND DISPUTE RESOLUTION IN ENGINEERING AND CONSTRUCTION, 2020, 12 (01)
  • [25] Opinion Mining Using Live Twitter Data
    Aslam, Andleeb
    Qamar, Usman
    Khan, Reda Ayesha
    Saqib, Pakizah
    Ahmad, Aleena
    Qadeer, Aiman
    2019 22ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (IEEE CSE 2019) AND 17TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (IEEE EUC 2019), 2019, : 36 - 39
  • [26] The power of big data analytics over fake news: A scientometric review of Twitter as a in healthcare
    Cano-Marin, Enrique
    Mora-Cantallops, Marcal
    Sanchez-Alonso, Salvador
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 190
  • [27] Exploring Twitter News Biases Using Urdu-based Sentiment Lexicon
    Amjad, Kamran
    Ishtiaq, Maria
    Firdous, Samar
    Mehmood, Muhammad Amir
    2017 INTERNATIONAL CONFERENCE ON OPEN SOURCE SYSTEMS & TECHNOLOGIES (ICOSST), 2017, : 48 - 53
  • [28] A Statistical Approach for Sarcasm Detection Using Twitter Data
    Gupta, Rahul
    Kumar, Jitendra
    Agrawal, Harsh
    Kunal
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS 2020), 2020, : 633 - 638
  • [29] Analyzing Bandung Public Mood Using Twitter Data
    Akbarisanto, Ridho
    Danar, Wikan
    Purwarianti, Ayu
    2016 4TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT), 2016,
  • [30] USING TWITTER DATA FOR CRUISE TOURISM MARKETING AND RESEARCH
    Park, Seunghyun Brian
    Ok, Chihyung Michael
    Chae, Bongsug Kevin
    JOURNAL OF TRAVEL & TOURISM MARKETING, 2016, 33 (06) : 885 - 898
12345