Social Answer: A System for Finding Appropriate Sites for Questions in Social Media

Harsh Dani; Fred Morstatter; Xia Hu; Zhen Yang; Huan Liu

doi:10.1109/ICDMW.2015.253

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media

Harsh Dani
, Fred Morstatter
, Xia Hu
, Zhen Yang
, Huan Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
Editors	Xindong Wu, Alexander Tuzhilin, Hui Xiong, Jennifer G. Dy, Charu Aggarwal, Zhi-Hua Zhou, Peng Cui
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1632-1635
Number of pages	4
ISBN (Electronic)	9781467384926
DOIs	https://doi.org/10.1109/ICDMW.2015.253
State	Published - Jan 29 2016
Event	15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 - Atlantic City, United States Duration: Nov 14 2015 → Nov 17 2015

Publication series

Name	Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

Other

Other	15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
Country/Territory	United States
City	Atlantic City
Period	11/14/15 → 11/17/15

Keywords

Conflict Allocation
QandA
Social Media

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications

Access to Document

10.1109/ICDMW.2015.253

Cite this

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 X. Wu, A. Tuzhilin, H. Xiong, J. G. Dy, C. Aggarwal, Z.-H. Zhou, & P. Cui (Eds.), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 (pp. 1632-1635). Article 7395875 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMW.2015.253

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. / Dani, Harsh; Morstatter, Fred; Hu, Xia et al.
Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. ed. / Xindong Wu; Alexander Tuzhilin; Hui Xiong; Jennifer G. Dy; Charu Aggarwal; Zhi-Hua Zhou; Peng Cui. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1632-1635 7395875 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 X Wu, A Tuzhilin, H Xiong, JG Dy, C Aggarwal, Z-H Zhou & P Cui (eds), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015., 7395875, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1632-1635, 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, United States, 11/14/15. https://doi.org/10.1109/ICDMW.2015.253

Dani H, Morstatter F, Hu X, Yang Z, Liu H. Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. In Wu X, Tuzhilin A, Xiong H, Dy JG, Aggarwal C, Zhou ZH, Cui P, editors, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1632-1635. 7395875. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). doi: 10.1109/ICDMW.2015.253

Dani, Harsh ; Morstatter, Fred ; Hu, Xia et al. / Social Answer : A System for Finding Appropriate Sites for Questions in Social Media. Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. editor / Xindong Wu ; Alexander Tuzhilin ; Hui Xiong ; Jennifer G. Dy ; Charu Aggarwal ; Zhi-Hua Zhou ; Peng Cui. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1632-1635 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

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title = "Social Answer: A System for Finding Appropriate Sites for Questions in Social Media",

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.",

keywords = "Conflict Allocation, QandA, Social Media",

author = "Harsh Dani and Fred Morstatter and Xia Hu and Zhen Yang and Huan Liu",

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AB - 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.

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ER -

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media

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