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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 : 113
Article Submitted : 17932
Article Published : 7717
Total Authors : 20422
Total Reviewer : 747
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| Paper Title: | Efficient Search Over Massive Open Online Course |
| Authors Name: | Prof. Anuradha Dandwate , Pankaj Pawar , Vishal Nimbalkar , Pooja Dhenge |
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| Author Reg. ID: |
IJRTI_180794
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| Published Paper Id: | IJRTI1904019 |
| Published In: | Volume 4 Issue 4, April-2019 |
| DOI: | |
| Abstract: | Due to the widespread of internet, online education is gaining popularity. In the field of education, Massive Open Online Courses (MOOC) are used in delivering learning content to any person who wants to take the course with no constraint on attendance. The courses by different providers may differ in session timing, price, difficulty level etc. Hence a user has to visit every MOOC providers site and go through the course details. To make this task user-friendly, a Information aggregator is used which can aggregate online courses from multiple course providers. Before aggregating this courses from different MOOC’s, data preprocessing is performed. And to combat the limitations of stemming, we are using lemmatization. In Information Retrieval, one of the important task is retrieving relevant information. However an important issue for retrieval effectiveness is the mismatch problem where in the indexers and users do not often use the same words. User query is often too short and may not contain relevant terms. This issues are handled by query exapansion. User query terms are enriched with additional semantically related terms like synonyms using a dictionary . We present a web portal called MOOCLink that utilizes the data to discover and compare courseware. Also providing filtering which include MOCK test based and budget based for user to choose appropriate courses. |
| Keywords: | Massive Open Online Courses (MOOCs);K-nearest neighbor algorithm(KNN),Courseware |
| Cite Article: | "Efficient Search Over Massive Open Online Course", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 4, page no.89 - 93, April-2019, Available :http://www.ijrti.org/papers/IJRTI1904019.pdf |
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| 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: IJRTI1904019
Registration ID:180794
Published In: Volume 4 Issue 4, April-2019
DOI (Digital Object Identifier):
Page No: 89 - 93 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1904019 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1904019 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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