Research Article
WishDish: “Recipe Prediction using K-Medoids Clustering Technique for Big Data Analytics”
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 153 - Issue 4 |
| Published: Nov 2016 |
| Authors: Twisha Phirke, Pushkara Dighe, Darshana Rathi, Jayalakshmi Iyer, Nupur Giri |
10.5120/ijca2016912006
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Twisha Phirke, Pushkara Dighe, Darshana Rathi, Jayalakshmi Iyer, Nupur Giri . WishDish: “Recipe Prediction using K-Medoids Clustering Technique for Big Data Analytics”. International Journal of Computer Applications. 153, 4 (Nov 2016), 53-56. DOI=10.5120/ijca2016912006
@article{ 10.5120/ijca2016912006,
author = { Twisha Phirke,Pushkara Dighe,Darshana Rathi,Jayalakshmi Iyer,Nupur Giri },
title = { WishDish: “Recipe Prediction using K-Medoids Clustering Technique for Big Data Analytics” },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 153 },
number = { 4 },
pages = { 53-56 },
doi = { 10.5120/ijca2016912006 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Twisha Phirke
%A Pushkara Dighe
%A Darshana Rathi
%A Jayalakshmi Iyer
%A Nupur Giri
%T WishDish: “Recipe Prediction using K-Medoids Clustering Technique for Big Data Analytics”%T
%J International Journal of Computer Applications
%V 153
%N 4
%P 53-56
%R 10.5120/ijca2016912006
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The project involves developing a web application called “WishDish” which proves as a one-stop destination for shopping food items, getting recipe suggestions for those food items and planning daily meals for the week on a calendar, all at one place. Recipe suggestions will be made using k-medoids clustering technique on weighted recipes. Aim is to make relevant and distinct recipe suggestions for food items bought every day. A part of this project also involves evaluating performance of the application based on the algorithm used, for different database sizes and accuracy, using R.
References
- Mugdha Jain, Chakradhar Verma, “Adapting k-mean for Clustering in Big Data” International Journal of Computer Applications (0975 – 8887) Volume 101– No.1, September 2014.
- Sakuntala Gangaraju, “Recipe Suggestion Tool”.
- Jeremy Cohen, Robert Sami, Aaron Schild, Spencer Tank, “Recipe Recommendation”- May 2013.
- Ji-Rong Wen, Jian-Yun Nie, Hong-Jiang Zhang, “Clustering User Queries of a Search Engine”.
- https://grocermax.com
- http://www.jamieoliver.com
- http://www.tarladalal.com
- http://www.sanjeevkapoor.com
- https://sites.google.com/site/dataclusteringalgorithms/k-means-clustering-algorithm
- https://stat.ethz.ch/R-manual/R-devel/library/cluster/html/clara.object.html
- http://www.fi.muni.cz/~xpelanek/PV254/slides/evaluation.pdf
- http://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/
Index Terms
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