Ask Me Forum-Crowdsourcing

Authors(5) :-Prof. M. S. Khatib, Prof. NaishaTaban, Prof. Farheena Sheikh, IffatSaleha, Sana Khan

Today people use the Internet to find the answer totheir questions. They mostly rather ask other users onCommunity Question Answering (CQA) sites for an answer thanjust searching theweb. However, as Social Media becomes morepopular, users tend to ask their questions on these networks, andignore the benefits CQA sites offer. On the other hand, automaticQuestion Answering (QA) systems are unable to comprehendquestions including images and implementing necessaryalgorithms for such systems is expensive. In this paper, wepropose QA process based on Crowdsourcing, which runs on aQA open system. The system benefits from Crowdsourcingadvantages, besides automation techniques. The model isoperational and we have demonstrated that questions could bereceived from different heterogeneous sources, if the suitableprocedures are used, and that the answer is obtained from thecrowd in the proposed process based on Crowdsourcing.Moreover, the first Iranian crowdsourcing platform forcomplicated tasks is implemented, which could be used as a basisfor future research.

Authors and Affiliations

Prof. M. S. Khatib
Computer Science And Engineering Department, ACET Sadar , Nagpur, Maharashtra, India
Prof. NaishaTaban
Computer Science And Engineering Department, ACET Sadar , Nagpur, Maharashtra, India
Prof. Farheena Sheikh
Computer Science And Engineering Department, ACET Sadar , Nagpur, Maharashtra, India
IffatSaleha
Computer Science And Engineering Department, ACET Sadar , Nagpur, Maharashtra, India
Sana Khan

Crowdsourcing; Web; Question Answering

  1. A. Shtok, G. Dror, Y. Maarek, and I. Szpektor, "Learning from thePast: Answering New Questions with Past Answers," inProceedings of the 21st international conference on World WideWeb - WWW '12, 2012, p. 759.
  2. K. Kim, S. Lee, J. Son, and M. Cha, "Finding informative Q&As ontwitter," in Proceedings of the 23rd International Conference onWorld Wide Web - WWW '14 Companion, 2014, pp. 319–320.
  3. L. B. Chilton, G. Little, D. Edge, D. S. Weld, and J. A. Landay,"Cascade: Crowdsourcing Taxonomy Creation," in Proceedings ofthe SIGCHI Conference on Human Factors in Computing Systems -CHI '13, 2013, p. 1999.
  4. G. Xintong, W. Hongzhi, Y. Song, and G. Hong, "Brief survey ofcrowdsourcing for data mining," Expert Syst. Appl., vol. 41, no. 17,pp. 7987–7994, Dec. 2014.
  5. J. Hentschel and J. Pal, "Sada Vehra: a framework forcrowdsourcing Punjabi language content," in Proceedings of the Seventh International Conference on Information andCommunication Technologies and Development - ICTD '15, 2015,pp. 1–4.
  6. S.-K. Choi, J.-H. Shin, and Y.-G. Kim, "Semi-automatic Filtering ofTranslation Errors in Triangle Corpus."
  7. L. Mitchell, S. O'Brien, and J. Roturier, "Quality evaluation incommunity post-editing," Mach. Transl., vol. 28, no. 3–4, pp. 237–262, Dec. 2014.
  8. O. Alonso, D. E. Rose, and B. Stewart, "Crowdsourcing forrelevance evaluation," ACM SIGIR Forum, vol. 42, no. 2, p. 9, Nov.4192.
  9. M.-C. Yuen, I. King, and K.-S. Leung, "A Survey of CrowdsourcingSystems," in 2011 IEEE Third Int'l Conference on Privacy,Security, Risk and Trust and 2011 IEEE Third Int'l Conference onSocial Computing, 2011, pp. 766–773.
  10. D. Geiger and M. Schader, "Personalized task recommendation incrowdsourcing information systems — Current state of the art,"Decis. Support Syst., vol. 65, pp. 3–16, Sep. 2014.
  11. A. Kittur, B. Smus, S. Khamkar, and R. E. Kraut, "CrowdForge:Crowdsourcing Complex Work," in Proceedings of the 24th annualACM symposium on User interface software and technology - UIST'11, 2011, p. 43.
  12. D. Notkin, B. H. C. Cheng, K. Pohl, M. IEEE Computer Society.,and Institute of Electrical and Electronics Engineers., "Pricing crowdsourcing-basedsoftware development tasks," in Proceedingsof the 2013 International Conference on Software Engineering,2013, pp. 1205–1208.
  13. J.-W. Jeong, M. R. Morris, J. Teevan, and D. Liebling, "A Crowd-Powered Socially Embedded Search Engine," in International AAAI Conference on Web and SocialMedia; SeventhInternational AAAI Conference on Weblogs and Social Media, 2013.
  14. "Personalized task recommendation in crowdsourcing informationsystems — Current state of the art."
  15. K. Mao, Y. Yang, Q. Wang, Y. Jia, and M. Harman, "DeveloperRecommendation for Crowdsourced Software Development Tasks,"in 2015 IEEE Symposium on Service-Oriented System Engineering,2015, pp. 347–356.
  16. M. Allahbakhsh, B. Benatallah, A. Ignjatovic, H. R. Motahari-Nezhad, E. Bertino, and S. Dustdar, "Quality Control in Crowdsourcing Systems: Issues and Directions," IEEE InternetComput., vol. 17, no. 2, pp. 76–81, Mar. 2013.
  17. B. Li, X. Si, M. R. Lyu, I. King, and E. Y. Chang, "Questionidentification on twitter," in Proceedings of the 20th ACMinternational conference on Information and knowledge management - CIKM '11, 2011, p. 2477.

Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 283-286
Manuscript Number : NCAEAS4359
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Prof. M. S. Khatib, Prof. NaishaTaban, Prof. Farheena Sheikh, IffatSaleha, Sana Khan, " Ask Me Forum-Crowdsourcing, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 3, pp.283-286, January-February-2018. Available at doi : 10.32628/NCAEAS4359
Journal URL : http://ijsrst.com/NCAEAS4359

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