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DOI: 10.4018/978-1-6684-4849-6.ch005
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Abstract

Even though the term “search” is a small word, it denotes an endeavor that occupies the time of many in diverse organizations. It is a work effort that is ambiguous and often plagued with consternation since it denotes discovery of that which is unknown. Search may be a pastime or an arduous process depending on the actor that has embraced the endeavor. Searching for truth has been aided in recent times through the use of mathematical models that have been applied through a computational context, but in order to be effective in this manner, it mandates that the individual first understand not only the nature of said data, but also the mathematical context that applies to the dataset. If this data can be converted to information, then what results is nothing short of extraordinary as it leads the discourse to a better state.
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Introduction

Searching is an endeavor that humanity has gravitated to seamlessly; search is performed endlessly for answers to questions that need to be satisfied. The search space has simply become an extension to humanities inquisitive nature. It is used throughout the daily working day to find answers to questions that arise randomly. It has become such a paradigm shift that there are phrases that have become commonplace such as ‘Google it’. The company namesake has now become a verb in the English vernacular. The correctly answering of the questions posed to the search engines has become the golden formula for each of the providers. In this section of the book, a search algorithm is explored and while searching is rather simple in the form of English phrases it does highlight the base working structure of the paradigm under investigation. This study will utilize the same search engines that are harnessed by the masses to help shed light on the base functionality in a quantified context, which facilitates the escape from the qualitative context of the subject and enables the understanding of the domain in a metrics manner. The result of this process will then be used as the input to the model that will be evaluated in a following chapter of this book to derive the actual formulas for indexing by Bing and Yahoo. The algorithm that is used for this section of the book is displayed in the back of the book for your review. The algorithm in its entirety has been uploaded to GitHub as well (https://pypi.org/project/pip/).

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