UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFD06037


Registration ID:
315672

Page Number

244-250

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Title

Fashionista: A Clothing Application with Collaborative Filtering Based Recommendation System

Abstract

Recommender systems are used by various e-commerce sites to recommend different products to their customers. The products can be recommended based on the ratings given by the customers and various other implicit parameters, like purchase history or no of times a particular item was viewed. The recommendations in this project will be based on explicit feedback in the form of ratings. We use Matrix Factorization, which is a technique that discovers latent features and complex hidden relationship patterns among users or items with similar preferences or features, given a matrix to decompose. Gradient Descent is used to optimize the cost function. The e-commerce application will enable users to perform all the essential activities like rating, buying or adding a product to the wishlist and cart. Users can browse for items or explore the recommendations made to them.

Key Words

Recommender System, Matrix Factorization, Gradient Descent, Collaborative Filtering, Mobile Application, e-commerce application

Cite This Article

"Fashionista: A Clothing Application with Collaborative Filtering Based Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.244-250, October-2021, Available :http://www.jetir.org/papers/JETIRFD06037.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Fashionista: A Clothing Application with Collaborative Filtering Based Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp244-250, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06037.pdf

Publication Details

Published Paper ID: JETIRFD06037
Registration ID: 315672
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: 244-250
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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