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| Content Provider | Tech Science Press |
|---|---|
| Author | Shaffi, S. Samsudeen Muthulakshmi, I. Shaffi, S. |
| Abstract | As data grows in size, search engines face new challenges in extracting more relevant content for users’ searches. As a result, a number of retrieval and ranking algorithms have been employed to ensure that the results are relevant to the user’s requirements. Unfortunately, most existing indexes and ranking algorithms crawl documents and web pages based on a limited set of criteria designed to meet user expectations, making it impossible to deliver exceptionally accurate results. As a result, this study investigates and analyses how search engines work, as well as the elements that contribute to higher ranks. This paper addresses the issue of bias by proposing a new ranking algorithm based on the PageRank (PR) algorithm, which is one of the most widely used page ranking algorithms We propose weighted PageRank (WPR) algorithms to test the relationship between these various measures. The Weighted Page Rank (WPR) model was used in three distinct trials to compare the rankings of documents and pages based on one or more user preferences criteria. The findings of utilizing the Weighted Page Rank model showed that using multiple criteria to rank final pages is better than using only one, and that some criteria had a greater impact on ranking results than others. |
| Related Links | https://www.techscience.com/iasc/v36n1/49995 |
| Starting Page | 183 |
| Ending Page | 192 |
| ISSN | 10798587 |
| DOI | 10.32604/iasc.2023.031494 |
| Issue Number | 1 |
| Journal | Intelligent Automation & Soft Computing (IASC) |
| Volume Number | 36 |
| e-ISSN | 2326005X |
| Language | English |
| Publisher Date | 2022-09-29 |
| Access Restriction | Open |
| Subject Keyword | search engines web crawlers web pages Weighted pagerank algorithms World Wide Web |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
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Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
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