THE SCIENCE BEHIND RECOMMENDED FOR YOU

Priyanka P. Kathane , Saurabh Shivasharan Gavandi , Pooja Singh Darda

: Recommendation systems, algorithms, filters, suggestion, resemblance, rating, similar, likely.

This report is based on the algorithm science behind “recommended for you” which is nowadays used by every player in the market focusing on establishing its brand or expanding its current business. This report will give details about companies who have successfully used this science behind “recommended for you” and have excelled in the segment and about how further companies can choose this way to influence and frame the consumer behavior. “RECOMMENDED FOR YOU” is the knowledge available with the company to decide on the basis of the information that they have and the data user uses as filters on online portals.

Published Paper   E-Certificate

"THE SCIENCE BEHIND RECOMMENDED FOR YOU", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 12, page no.140 - 144, December-2019, Available :https://ijsdr.org/papers/IJSDR1912031.pdf

Volume 4 Issue 12, December-2019

Pages : 140 - 144

Paper Reg. ID: IJSDR_191182

Published Paper Id: IJSDR1912031

Downloads: 000347549

Research Area: Management

Country: Kothrud, Pune, Maharshtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1912031

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1912031

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition