Retrieving web search results using Max–Max soft clustering for Hindi query

Author:

Jain Amita,Tayal Devendra K.,Yadav Sudesh

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Reference28 articles.

1. Biemann C (2006) Chinese whispers—an efficient graph clustering algorithm and its application to natural language processing problems. In: Proceedings of the 1st workshop on graph-based algorithms for natural language processing, New York, pp 73–80

2. Clough P, Mark S, Murad A, Sergio N, Monica LP (2009) Multiple approaches to analysing query diversity. In: Proceedings of the 32nd annual international ACM SIGIR conference on research and development in information retrieval, Boston, pp 734–735

3. David H, Bill K (2013) Max–Max: a graph-based soft clustering algorithm applied to word sense induction. In: Gelbukh A (ed) CICLing Part 1. LNCS, vol. 7816. Springer, Berlin, pp 368–381

4. Devendra KT, Amita J, Neha D, Shuchi G (2014) MetaSurfer: a new metasearch engine based on FAHP and modified EOWA operator. Int J Syst Assur Eng Manag 99:1–13

5. Dwivedi KS (2008) An entropy based method for removing web query ambiguity in Hindi language. J Comput Sci 4(9):762–767

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