Exploring methods of assessing influence relevance of news articles

Qingren Wang, Victor S. Sheng, Zhaobin Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Assessing the influence relevance of a news article is a very important and novel task for news personalized recommendation services. It provides a novel functionality by additionally recommending users news articles that may not match users’ interest points but can help users make good decisions in their daily lives. Since the influence of implicit information delivered by news articles cannot be obtained literally, and meanwhile regions and industries affected by the influence of implicit information are usually not explicitly mentioned in news articles, machine-based methods lost their ability. In this paper we explore methods of assessing influence relevance of news articles by employing crowdsourcing, and the experimental results show that crowdsourcing can assess the influence relevance of news articles very well.

Original languageEnglish
Title of host publicationCloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers
EditorsElisa Bertino, Xingming Sun, Zhaoqing Pan
PublisherSpringer-Verlag
Pages525-536
Number of pages12
ISBN (Print)9783030000202
DOIs
StatePublished - 2018
Event4th International Conference on Cloud Computing and Security, ICCCS 2018 - Haikou, China
Duration: Jun 8 2018Jun 10 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11068 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Cloud Computing and Security, ICCCS 2018
CountryChina
CityHaikou
Period06/8/1806/10/18

Keywords

  • Crowdsourcing
  • Ground truth inference
  • Influence relevance

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  • Cite this

    Wang, Q., Sheng, V. S., & Liu, Z. (2018). Exploring methods of assessing influence relevance of news articles. In E. Bertino, X. Sun, & Z. Pan (Eds.), Cloud Computing and Security - 4th International Conference, ICCCS 2018, Revised Selected Papers (pp. 525-536). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11068 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-00021-9_47