Search Result Enhancement For Arabic Datasets Using Modified Chicken Swarm

  • Alia Karim Abdul Hassan Computer Science Department, University of Technology, Baghdad, Iraq
  • Zainab AbdulAmeer Computer Science Department, University of Technology, Baghdad, Iraq
Keywords: search result, dissimilar pattern, outlier, chicken algorithm, swarm, redundant, relevant, rank list

Abstract

The need for information web-searching is needed by many users nowadays. They use the search engines to input their query or question and wait for the answer or best search results. As results to user query the search engines many times may be return irrelevant pages or not related to information need. This paper presents   a proposed model to provide the user with efficient and effective result through search engine, based on modified chicken swarm algorithm  and cosine similarity    to eliminate and delete irrelevant pages(outliers) from the ranked list results, and to improve the results of the user's query   . The proposed model is applied to Arabic dataset and use the ZAD corpus dataset for 27300 document.  The experimental result shows that the proposed model improves the precision, recall,   and accuracy. Thus the result produced by this method improves accuracy.

Published
2018-10-31
How to Cite
Abdul HassanA. K., & AbdulAmeerZ. (2018). Search Result Enhancement For Arabic Datasets Using Modified Chicken Swarm. Iraqi Journal of Science, 59(4A), 1952-1958. Retrieved from http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/390
Section
Computer Science