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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 72

Article Submitted : 2681

Article Published : 1604

Total Authors : 4237

Total Reviewer : 523

Total Countries : 29

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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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IJRTI_180794
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
Publication Details: 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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