Effective presentation of results using ranking & clustering in meta search engine

Authors

  • Mor J Ph.D. Research Scholar, School of Engineering and Technology, Ansal University, Gurugram, India
  • Kumar N Associate Professor, Department of Computer Science and Engineering, MSIT, Janakpuri, New Delhi, India
  • Rai D Associate Professor, School of Engineering and Technology, Ansal University,Gurugram, India

Keywords:

Meta Search Engine, Search Engine, Webpage, Clustering and Ranking Meta Search Engine

Abstract

The web is changing momentarily which makes it very difficult for the user to retrieve relevant results as per the given query. Clustering is a technique to organize search results in a way so that same search results are associated only with one cluster. For clustering of web pages, different parts of the webpage can be used. There are the lot of algorithms like K-means, Apriori, Expectation maximization, Ada etc. are used for clustering of documents. Clustering Algorithm such as K-means suffers from various problems such as less efficiency and clusters with large entropy. This paper overcomes the problems of K means and makes the use of bisecting K-means algorithm as the primary clustering algorithm having linear time.

References

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Published

2024-02-26

How to Cite

Mor, J., Kumar, N., & Rai, D. (2024). Effective presentation of results using ranking & clustering in meta search engine. COMPUSOFT: An International Journal of Advanced Computer Technology, 7(12), 2957–2961. Retrieved from https://ijact.in/index.php/j/article/view/467

Issue

Vol. 7 No. 12 (2018): December

Section

Original Research Article

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Copyright (c) 2018 COMPUSOFT: An International Journal of Advanced Computer Technology

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