Abstract

Social networking or social media sites are involvedin our daily life. With the increasing popularity of socialmedia sites like Twitter and Facebook, people are using theirsocial network to find answers to their questions. Not everysocial media site can answer a user's question. Different socialmedia sites have different strength such as the StackOverflowcommunity has specific interest in programming and softwaredevelopment, whereas the TripAdvisor community has specificinterest in topic of Travel. Hence, we need a framework toidentify social media sites, which can best answer user's questions. In this paper, we demonstrate system named SocialAnswer which can rank social media sites for user's querybased on the content similarity of social media site and user'squery using ensemble of search engine query results.

Original languageEnglish (US)
Title of host publicationProceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1632-1635
Number of pages4
ISBN (Print)9781467384926
DOIs
StatePublished - Jan 29 2016
Event15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 - Atlantic City, United States
Duration: Nov 14 2015Nov 17 2015

Other

Other15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
CountryUnited States
CityAtlantic City
Period11/14/1511/17/15

Keywords

  • Conflict Allocation
  • QandA
  • Social Media

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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    Dani, H., Morstatter, F., Hu, X., Yang, Z., & Liu, H. (2016). Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. In Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 (pp. 1632-1635). [7395875] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMW.2015.253