A Comparative Study Between Proposed File Retreival System and Related Systems

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Research areas:
Year:
2015
Type of Publication:
Article
Keywords:
File Search Engine, File Caching, Indexing, Crawling, Caching Technique
Authors:
Mohammed Khaleel; H. M. El-Bakry; Ahmed A. Saleh
Journal:
IJAIM
Volume:
4
Number:
3
Pages:
124-129
Month:
November
Abstract:
We study the problem of files reterival in search systems and caching query result pages in Web search engines. However, there are millions of queries received by popular search engines daily, and a result page returned to the user for every query. However, the user might submit a new query, ask for extra result pages for the same query, or leave searching. In this manuscript studies query result caching in the proposed framework. We show here a modification of a common scheme of online paging to this model. However, in the resulting algorithm, the predictable number of cache misses is not more that four times the predictable number of misses that any other online caching algorithm may get under our particular model of query generation. A set of measurements is proposed for evaluating Web search engine performance. Some measurements are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, an issue unique to Web information retrieval systems. An experiment was conducted to test these new measurements by applying them to a performance comparison of three files search engines: 4-shared, file search engine and Share Digger system.
Full text: IJAIM_504_Final.pdf

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