Data De-duplication Analytics in the Strategic Decision making with based on User Search Goals

Authors(2) :-Ravikanth. M, Bhuvaneshwari

Technology and its real jewel make us to search and search makes us to do research. These Days, if we see the global market of Information technology and its demand to its liability is the decision making strategy in the field of user oriented or aspect oriented, in other terms we can tell as the data analytics either from the transactional data or from the de-duplication based on the User based search engine. Hence forth, the digital marketing needs strategic along with the inferring nature of the User which needs to be smart and benevolent with time and trend. In this Paper we have emphasis on the data rather information to make s structured way of data classification which will make as the reference in the recent IT Industry service Provider. We have given the precession based data restructuring to make the search result in the proper format in order to make the strong and quicker strategic decision in the high end growth.

Authors and Affiliations

Ravikanth. M
Associate Professor of CSE in CMRTC, Hyderabad, Telangana, India
Bhuvaneshwari
Professor of CSE in CU, Kalapet, Pondicherry, Tamil Nadu, India

User search goals, de-duplication sessions, pseudo-documents, restructuring search results, classified average precision

  1. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. ACM Press, 1999. 2] R. Baeza-Yates, C. Hurtado, and M. Mendoza, "Query Recommendation Using Query Logs in Search Engines," Proc. Int'l Conf. Current Trends in Database Technology (EDBT '04), pp. 588-596, 2004.
  2. D. Beeferman and A. Berger, "Agglomerative Clustering of a Search Engine Query Log," Proc. Sixth ACM SIGKDD Int'l Conf.Knowledge Discovery and Data Mining (SIGKDD '00), pp. 407-416,2000.
  3. S. Beitzel, E. Jensen, A. Chowdhury, and O. Frieder, "Varying Approaches to Topical Web Query Classification," Proc. 30th Ann. Int'l ACM SIGIR Conf. Research and Development (SIGIR '07), pp. 783-784, 2007.
  4. H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li, "Context-Aware Query Suggestion by Mining Click-Through," Proc. 14th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (SIGKDD '08), pp. 875-883, 2008.
  5. H. Chen and S. Dumais, "Bringing Order to the Web: Automatically Categorizing Search Results," Proc. SIGCHI Conf. Human Factors in Computing Systems (SIGCHI '00), pp. 145-152, 2000.
  6. C.-K Huang, L.-F Chien, and Y.-J Oyang, "Relevant Term Suggestion in Interactive Web Search Based on Contextual Information in Query Session Logs," J. Am. Soc. for Information Science and Technology, vol. 54, no. 7, pp. 638-649, 2003.
  7. T. Joachims, "Evaluating Retrieval Performance Using Clickthrough Data," Text Mining, J. Franke, G. Nakhaeizadeh, and I. Renz, eds., pp. 79-96, Physica/Springer Verlag, 2003.
  8. T. Joachims, "Optimizing Search Engines Using Clickthrough Data," Proc. Eighth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (SIGKDD '02), pp. 133-142, 2002.
  9. T. Joachims, L. Granka, B. Pang, H. Hembrooke, and G. Gay, "Accurately Interpreting Clickthrough Data as Implicit De-duplication," Proc. 28th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '05), pp. 154-161, 2005.
  10. R. Jones and K.L. Klinkner, "Beyond the Session Timeout: Automatic Hierarchical Segmentation of Search Topics in Query Logs," Proc. 17th ACM Conf. Information and Knowledge Management (CIKM '08), pp. 699-708, 2008.
  11. R. Jones, B. Rey, O. Madani, and W. Greiner, "Generating Query Substitutions," Proc. 15th Int'l Conf. World Wide Web (WWW '06), pp. 387-396, 2006.
  12. U. Lee, Z. Liu, and J. Cho, "Automatic Identification of User Goals in Web Search," Proc. 14th Int'l Conf. World Wide Web (WWW '05), pp. 391-400, 2005.
  13. X. Li, Y.-Y Wang, and A. Acero, "Learning Query Intent from Regularized Click Graphs," Proc. 31st Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '08), pp. 339-346, 2008.

Publication Details

Published in : Volume 1 | Issue 6 | November-December 2015
Date of Publication : 2015-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 603-607
Manuscript Number : IJSRSET184477
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Ravikanth. M, Bhuvaneshwari, " Data De-duplication Analytics in the Strategic Decision making with based on User Search Goals , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.603-607, November-December-2015.
Journal URL : http://ijsrset.com/IJSRSET184477

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