Search engine Performance optimization: methods and techniques
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| Publicat a: | F1000Research vol. 12 (2024) |
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| Autor principal: | |
| Altres autors: | , , |
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Faculty of 1000 Ltd.
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| Accés en línia: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3073885288 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2046-1402 | ||
| 024 | 7 | |a 10.12688/f1000research.140393.3 |2 doi | |
| 035 | |a 3073885288 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a AMAN, Serge Stephane | |
| 245 | 1 | |a Search engine Performance optimization: methods and techniques | |
| 260 | |b Faculty of 1000 Ltd. |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a BackgroundWith the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities.MethodsThis scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques.ResultsThe results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users.ConclusionsThe article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector. | |
| 610 | 4 | |a Duck Duck Go Inc | |
| 651 | 4 | |a United States--US | |
| 653 | |a User interface | ||
| 653 | |a Search engines | ||
| 653 | |a Internet | ||
| 653 | |a Metadata | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a User experience | ||
| 653 | |a Relevance | ||
| 653 | |a Data collection | ||
| 653 | |a Algorithms | ||
| 653 | |a Queries | ||
| 653 | |a Information retrieval | ||
| 653 | |a Case studies | ||
| 700 | 1 | |a N'GUESSAN Behou Gerard | |
| 700 | 1 | |a AGBO Djama Djoman Alfred | |
| 700 | 1 | |a KONE Tiemoman | |
| 773 | 0 | |t F1000Research |g vol. 12 (2024) | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3073885288/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3073885288/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3073885288/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |