IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Recommendation System for MovieLens Dataset using Fuzzy C-Mean Clustering Algorithm
Authors Name: Ashish Tyagi , Apurva handoo , jay prakash , Saurabh Saoji
Unique Id: IJSDR2007060
Published In: Volume 5 Issue 7, July-2020
Abstract: Analysing the current growth in the internet technology there is a high demand for generation and collection of web generated data. Projecting the correct information to the users is the need of the hour for internet sales, online retailing or e-commerce websites. This thus leads to the complexity in choosing the correct algorithm for displaying accurate results. A recommender system can be defined as an intelligent software that would advice the users based upon their previous purchases or search history thus personalizing the website for the intended user according to the services selected.
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Cite Article: "Recommendation System for MovieLens Dataset using Fuzzy C-Mean Clustering Algorithm ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 7, page no.437 - 440, July-2020, Available :http://www.ijsdr.org/papers/IJSDR2007060.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2007060
Registration ID:192130
Published In: Volume 5 Issue 7, July-2020
DOI (Digital Object Identifier):
Page No: 437 - 440
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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