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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
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| Paper Title: | PERSONALIZATION WITH WEB MINING |
| Authors Name: | Madhuri Anwat , Prof. Umesh Pawar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182776
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| Published Paper Id: | IJRTI2206341 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | In today’s competitive environment learners from any area are growing and they are thirsty for getting knowledge in all looks and corners. Day by day their self learning habits are increasing and they are becoming explorers of the knowledge. The subjective initiative of learners is strengthening and they want a dynamic mechanism to fulfill their needs as quick as possible. Most of them uses internet as a primary source of information but this source is very big and vast, merely it provides more accurate results as per learners interest and expectations. Personalized learning system is developed in this dissertation to provide the learning services to the learners to fulfill their needs, interests and habits through the use of web services and web mining technology. The developed system provides personalized learning environment and it is able to find out the individual differences, individual characteristics, and habits to provide results according to users interests and habits. Web mining technology is used for implementation of system aim to identify the relevant results. Basically, personalized learning system consists of five major steps to construct a personalized learning environment are: Data collection, Data preprocessing, Data analysis, Result determination, Personalized interface. All these modules use web mining techniques to achieve system goals. Finally, a typical system is constructed using .Net framework to get satisfactory results. |
| Keywords: | Learning System, Personalization, Recommendations, Dynamic Interest Links, and Clustering, etc. |
| Cite Article: | "PERSONALIZATION WITH WEB MINING", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.2370 - 2376, July-2022, Available :http://www.ijrti.org/papers/IJRTI2206341.pdf |
| Downloads: | 000204850 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2206341
Registration ID:182776
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 2370 - 2376 Country: Nashik, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206341 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206341 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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