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With the advent of the Internet, search engines were developed for English language because English language was a lingua franca. Currently, most of popular search engines such as Google and Yahoo! are available in more than 50 languages. However, these search engines have received less attention in South Asian languages especially, Urdu language. In this paper, we propose a novel approach for feature...
In traditional search engines, it is not so easy for users to find relevant Web pages list (snippet) of a given query. Therefore, there is a need to retrieve and find the relevant information in a better way by clustering the search results. This paper presents a new approach for clustering search results using Haar wavelet transform. We explain how uses of Haar wavelet transform offer a reasonably...
This paper presents a novel approach based on one of the signal processing tools in soft computing applied to Web information retrieval, namely wavelet transform. The influence of two parameters, wavelet functions (Mother wavelets) and decomposition level, on feature extraction and information retrieval ability of calibration model was investigated. The experimental results show that the proposed...
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