DOI QR코드

DOI QR Code

Analysis of the Optimal Degree of Search Result Modification

검색결과의 최적 조정 비율 분석

  • Received : 2014.03.23
  • Accepted : 2014.09.02
  • Published : 2014.09.30

Abstract

Naver, a leading search engine in South Korea, may show modified and reorganized search results for some trendy and popular keywords; when popular words such as the titles of soap operas and films are searched for,all the detailed and well-organized information regarding them can be presented. By recognizing that search engines may modify and reorganize search results for some popular keywords, we mathematically model the impact of the degree of modification of search results on the search engine's profit to derive its optimal modification degree. We show how the optimal degree of search result modification may change according to the different shapes of the search engine's advertising revenue function.

Keywords

References

  1. 장대철, 정영조, 안병훈, "양면시장에서의 진입가능성 연구", 한국경영과학회지, 제31권, 제4호(2006), pp.105-123.
  2. 김도훈, "양면시장형 컨버전스 산업생태계에서 플랫폼 경쟁에 관한 진화게임 모형", 한국경영과학회지, 제35권, 제4호(2010), pp.55-79.
  3. Argenton, C. and J. Prufer, "Search Engine Competition with network externalities," Journal of competition Law and Economics, Vol.8, No.1(2012), pp.73-105. https://doi.org/10.1093/joclec/nhr018
  4. Armstrong, M., "Competition in two sided markets," The RAND Journal of Economics, Vol.37, No.3(2006), pp.668-691. https://doi.org/10.1111/j.1756-2171.2006.tb00037.x
  5. Clarke, L.A., C.M. Kolla, G.V. Cormack, O. Vechtomova, A. Ashkan, S. Buttcher, and I. MacKinnon, "Novelty and Diversity in Information Retrieval Evaluation," SIGIR '08 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, (2008), pp.659-666.
  6. Edosomwan, J. and T.O. Edosomwan, "Comparative analysis of some search engines," South African Journal of Science, Vol.106, No.11-12(2010), pp.1-4.
  7. Hawking, D., N. Craswell, et al.,"Measuring search engine quality," Information Retrieval, Vol.4, No.1(2001), pp.33-59. https://doi.org/10.1023/A:1011468107287
  8. Kim, K. and E. Tse, "Dynamic search engine competition with a knowledge-sharing service," Decision Support systems, Vol.52, No. 2(2012), pp.427-437. https://doi.org/10.1016/j.dss.2011.10.002
  9. Lewandowski, D., "Web searching, search engines and Information Retrieval," Information Services and Use, Vol.25, No.3(2005), pp.137-147.
  10. Lewandowski, D., "A three-year study on the freshness of web search engine databases," Journal of Information Science, Vol. 34, No.6(2008), p.817. https://doi.org/10.1177/0165551508089396
  11. Lewandowski, D. and N. Hochstotter, "Web searching : A quality measurement perspective," Web Search, (2008), pp.309-340.
  12. Taylor, G., "Search Quality and Revenue Cannibalisation by Competing Search Engines," Journal of Economics and Management Strategy, Vol.22, No.3(2013), pp.445-467.
  13. Telang, R., U. Rajan, and T. Mukhopadhyay, "The Market Structure for Internet Search Engines," Journal of Management Information Systems, Vol.21, No.2(2004), pp.137-160.
  14. Van Couvering, E., "Is relevance relevant? Market, science, and war : Discourses of search engine quality," Journal of Computer Mediated Communication, Vol.12, No.3(2007), pp.866-887. https://doi.org/10.1111/j.1083-6101.2007.00354.x
  15. Vaughan, L., "New measurements for search engine evaluation proposed and tested," Information Processing and Management, Vol. 40, No.4(2004), pp.677-691. https://doi.org/10.1016/S0306-4573(03)00043-8
  16. White, A., "Search Engines : Left Side Quality versus Right Side Profits, "International Journal of Industrial Organization, Vol.31(2013), pp.690-701. https://doi.org/10.1016/j.ijindorg.2013.04.003
  17. Xie, M., H. Wang, et al., "Quality dimensions of Internet search engines," Journal of Information Science, Vol.24, No.5(1998), p.365.

Cited by

  1. Development of the Accident Prediction Model for Enlisted Men through an Integrated Approach to Datamining and Textmining vol.21, pp.3, 2015, https://doi.org/10.13088/jiis.2015.21.3.01