| Autor: |
Taofiq Adeola Bakare, Mohammed Ahmed Subhi, Mohammad Najah Mahdi, Abdul Rahim Ahmad, Qais Saif Qassim |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Proceedings of International Conference on Emerging Technologies and Intelligent Systems ISBN: 9783030826154 |
| DOI: |
10.1007/978-3-030-82616-1_9 |
| Popis: |
Mostly with growth of the information sector, in particular the World wide web and the mobile Internet, the volume of information that we’ll have to contend with is rapidly increasing. To a certain degree, users could get the information they need from the Internet. And in context of these vast availability and proliferation of information, users need an efficient way of finding only important and interesting information. How to optimize usability during information search process is still not addressed. Searching was the key feature of a conventional search engine. There has been insufficient customization in search engines to be used by searchers during the information extraction process. This article thus analysed and discussed the personalized recommendations of searches using a tailored framework that supports search engines. We describe a comprehensive review of the study on search engine customization for web-based queries. The study is partially systematic and, also at end of the study, we discuss the difficulties of personalizing search engines. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
