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Detecting trending topics using page visitation statistics

Authors:

Sayandev Mukherjee,

Ronald Sujithan, and

Pero SubasicAuthors Info & Claims

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

April 2014

Pages 347 - 348

https://doi.org/10.1145/2567948.2577303

Published: 07 April 2014 Publication History

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Abstract

Many applications including realtime recommenders and ad-targeting systems have a need to identify trending concepts to prioritize the information presented to end-users. In this paper, we describe a novel approach that identifies trending concepts using the hourly Wikipedia page visitation statistics freely available for download. We describe a MapReduce framework that analyzes the raw hourly visitation logs and generates a ranked list of trending concepts on a daily basis. We validate this approach by extracting hourly lists of trending news articles, mapping these articles to Wikipedia concepts, and computing the similarity of the two lists according to several commonly used measures.

References

[1]

Apache Lucene.textttlucene.apache.org.

Google Scholar

[2]

L. Chen, C. Zhang, and C. Wilson. Tweeting Under Pressure: Analyzing Trending Topics and Evolving Word Choice on Sina Weibo. In Proceedings of the 1st Annual Conference on Online Social Networks (COSN 2013), pages 89--100. ACM, October 2013.

Digital Library

Google Scholar

[3]

DOCOMO dmarket.textttnttdocomo.co.jp/service/entertainment/dmarket.

Google Scholar

[4]

S. Kairam, M. Morris, J. Teevan, D. Liebling, and S. Dumais. Towards Supporting Search over Trending Events with Social Media. In Proceedings of the 7th International Conference on Weblogs and Social Media (ICWSM 2013), pages 283--292. AAAI, July 2013.

Google Scholar

[5]

S. Nikolov and D. Shah. A Nonparametric Method for Early Detection of Trending Topics. In Proceedings of the Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS 2012). MIT, November 2012.

Google Scholar

Cited By

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Mourelatos ETzagarakis M(2018)An investigation of factors affecting the visits of online crowdsourcing and labor platformsNetnomics10.1007/s11066-018-9128-z19:3(95-130)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1007/s11066-018-9128-z
Huang HZhang QWu JHuang XKando NSakai TJoho HLi Hde Vries AWhite R(2017)Predicting Which Topics You Will Join in the Future on Social MediaProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3080791(733-742)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3080791
Wu HFang YWu HZhu S(2016)Diversifying trending topic discovery via Semidefinite Programming2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840759(1512-1521)Online publication date: Dec-2016
https://doi.org/10.1109/BigData.2016.7840759

Index Terms

Detecting trending topics using page visitation statistics
1. Information systems
  1. Information retrieval
    1. Document representation
  2. Information storage systems
    1. Storage architectures
      1. Storage network architectures
2. Theory of computation
  1. Semantics and reasoning
    1. Program reasoning
      1. Abstraction

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Information & Contributors

Information

Published In

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

April 2014

1396 pages

ISBN:9781450327459

DOI:10.1145/2567948

General Chair:
Chin-Wan Chung
Korea Advanced Institute of Science and Technology, Korea
,
Program Chairs:
Andrei Broder
Google Inc., USA
,
Kyuseok Shim
Seoul National University, Korea
,
Torsten Suel
New York University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 April 2014

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WWW '14

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IW3C2

WWW '14: 23rd International World Wide Web Conference

April 7 - 11, 2014

Seoul, Korea

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Mourelatos ETzagarakis M(2018)An investigation of factors affecting the visits of online crowdsourcing and labor platformsNetnomics10.1007/s11066-018-9128-z19:3(95-130)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1007/s11066-018-9128-z
Huang HZhang QWu JHuang XKando NSakai TJoho HLi Hde Vries AWhite R(2017)Predicting Which Topics You Will Join in the Future on Social MediaProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3080791(733-742)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3080791
Wu HFang YWu HZhu S(2016)Diversifying trending topic discovery via Semidefinite Programming2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840759(1512-1521)Online publication date: Dec-2016
https://doi.org/10.1109/BigData.2016.7840759

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Recommendations

Classifying trending topics: a typology of conversation triggers on Twitter

Analysing the duration of trending topics in Twitter using wikipedia

Are trending topics useful for marketing?: visibility of trending topics vs traditional advertisement