Measuring the performance of the web search engines by repeated query approach

Abstract

The modern information retrieval systems become the basic building block of the modern-day web search engines. The factors that affect the performance of the information retrieval system also affect the web search engines performance. Information retrieval systems performance depends on the index terms, and their occurrence frequency. Hence, the small variation in the index term s frequency alters the information retrieval systems performance. This work tries to analyze the variation in the performance of information retrieval systems which is due to the changes in the index terms frequency. Based on the occurrence frequency, the index terms are classified as Low , and High frequency terms; and their performances are also recorded. Low-frequency terms tend to decrease the information retrieval newlinesystems performance. In contrast, the performance of high-frequency terms is better than its counterpart. High-frequency terms do 10% performance improvement in comparison with the low-frequency terms. By deleting the low-frequency index terms, we can save up to 65% of index terms with the maximum of 26% degradation in IR system s performance. This trade-off seems to be well paid. Finally, it is confirmed that the system which uses the whole index terms tender better performance than the system which uses either the low or the high-frequency terms. newlineWorld Wide Web (WWW) becomes the common information source. A common user uses the search engine to retrieve their needed information from the WWW without knowing the search engine s working principle. The search engines tender relevant information based on the users given queries. It is proposed to extract more relevant information from the search engines without using any external tools. newline newline