Statistical approach for improving the quality of search results

Authors:
G. Poonkuzhali;R. Kishore Kumar;R. Kripa Keshav;K. Thiagarajan;K. Sarukesi
Affiliations:
Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu, India;Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu, India;Department of Computer Science and Engineering, Rajalakshmi Engineering College, Anna University, Chennai, Tamil Nadu, India;Department of Science and Humanities, KCG College of Technology, Anna University, Chennai, Tamil Nadu, India;Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India
Venue:
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Year:
2011

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Abstract

Today, the most powerful tool in the internet world is the search engine as most of the people rely on them for retrieving interesting documents. Due to huge amount of information available on the web, most of the documents retrieved from the search engine are mostly irrelevant and causes a waste of user Therefore there is a need for Information retrieval and web mining researchers to develop an automated tool for improving the quality of the search results returned by search engines. In this research work, a statistical approach using test hypothesis with degrees of confidence at level 95% is used for retrieving the relevant web documents. This algorithm works well for both structured and unstructured web documents with high precision.