An effective news recommendation in social media based on users' preference

Xue Yuan, Zhang Chen, Zhou Changzheng, Lin Xun, Li Qing

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

12 Scopus citations

Abstract

In this paper, we have proposed a method to identify and track the drifted topics in the background of the social media through exploring the heated comments published, discussed, and voted by the participants of the social media. Based on this approach, we have further developed a way to optimize the recommendation of the relevant news to the readers of certain news by using the keywords generated from both news and comments. The challenge lies in how to select the keywords that are related with the drifted topics according to the users ' preference. In our work, we have utilized the number of votes received by a reader as an implicit feedback from the social media users in determining the quality of the comment. Then the keywords extracted from the comments are ranked based on both the quantity and the quality of the comments they appears in. Finally top-ranked keywords are selected and merged with the keywords representative of the original topics to retrieve the relevant news. Our experiment on news and comments from social media shows this approach is quite effective and promising.

Original languageEnglish (US)
Title of host publication2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008
PublisherIEEE Computer Society
Pages627-631
Number of pages5
ISBN (Print)9780769535630
DOIs
Publication statusPublished - Jan 1 2008
Event2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008 - Shanghai, China
Duration: Dec 21 2008Dec 22 2008

Publication series

Name2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008
Volume1

Other

Other2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008
CountryChina
CityShanghai
Period12/21/0812/22/08

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All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Information Systems
  • Geology
  • Geotechnical Engineering and Engineering Geology

Cite this

Yuan, X., Chen, Z., Changzheng, Z., Xun, L., & Qing, L. (2008). An effective news recommendation in social media based on users' preference. In 2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008 (pp. 627-631). [5070235] (2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ETTandGRS.2008.298