Improving Performance of Search Engine By Using WordNet-based Collaborative Evaluation and Hyperlink


The KIPS Transactions:PartB , Vol. 11, No. 3, pp. 369-380, Jun. 2004
10.3745/KIPSTB.2004.11.3.369,   PDF Download:

Abstract

In this paper, we propose a web page weighting scheme based on WordNet-based collaborative evaluation and hyperlink to improve the precision of web search engine. Generally search engines use keyword matching to decide web page ranking. In the information retrieval from huge data such as the Web, simple word comparison cannot distinguish important documents because there exist too many documents with similar relevancy. In this paper, we implement a WordNet-based user interface that helps to distinguish different senses of query word, and constructed a search engine in which the implicit evaluations by multiple users are reflected in ranking by accumulating the number of clicks. In accumulating click counts, they are stored separately according to senses, so that more accurate search is possible. Weighting of each web page by using collaborative evaluation and hyperlink is reflected in ranking. The experimental results with several keywords show that the precision of proposed system is improved compared to conventional search engines.


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Cite this article
[IEEE Style]
H. I. Kim and J. T. Kim, "Improving Performance of Search Engine By Using WordNet-based Collaborative Evaluation and Hyperlink," The KIPS Transactions:PartB , vol. 11, no. 3, pp. 369-380, 2004. DOI: 10.3745/KIPSTB.2004.11.3.369.

[ACM Style]
Hyung Il Kim and Jun Tae Kim. 2004. Improving Performance of Search Engine By Using WordNet-based Collaborative Evaluation and Hyperlink. The KIPS Transactions:PartB , 11, 3, (2004), 369-380. DOI: 10.3745/KIPSTB.2004.11.3.369.