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Analyzing Concerns on Companies through Statistics of Search Engine Suggests and its Correlation to Market Share

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Published:04 January 2016Publication History

ABSTRACT

This paper proposes to utilize a search engine as a social sensor which is to be used for predicting market shares. More specifically, this paper studies a task of comparing rates of concerns of those who search for Web pages among several companies which supply products, given a specific products domain. In this paper, we measure concerns of those who search for Web pages through search engine suggests. Then, we analyze whether rates of concerns of those who search for Web pages have certain correlation with actual market share. Furthermore, as an intermediate statistics between the rates of concerns of those who search for Web pages and market share, we also examine correlations between the page view statistics at the kakaku.com site and the other two statistics. The results of the analysis show that those three statistics have certain correlations among each other.

References

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  1. Analyzing Concerns on Companies through Statistics of Search Engine Suggests and its Correlation to Market Share

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    • Published in

      cover image ACM Conferences
      IMCOM '16: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication
      January 2016
      658 pages
      ISBN:9781450341424
      DOI:10.1145/2857546

      Copyright © 2016 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 January 2016

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      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate213of621submissions,34%

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