Abstract
The searching algorithms provide the filtering of the indexed items to create an ordered list of items with the most likely relevant items at the top. The search process uses the users query as a starting point in determining what items are most likely relevant to the user. This process revolves around a similarity measure formula that is used along with any heuristics added to improve the basic formula. There are many different similarity measures that are presented along with the rationale behind their use. Search results can be improved when there is feedback from a search on which hits are relevant and which are not—use of relevance feedback. Searches against multimedia items either follow textual search similarity approaches or use proprietary algorithms based upon the specific indexing for the multimedia modality.
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© 2011 Springer US
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Kowalski, G. (2011). Search. In: Information Retrieval Architecture and Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7716-8_5
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DOI: https://doi.org/10.1007/978-1-4419-7716-8_5
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-7715-1
Online ISBN: 978-1-4419-7716-8
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