A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Recommendation System into Social Life

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Recommendation System into Social Life
 
Creator Shawni Dutta
Prof. Samir Kumar Bandyopadhyay
 
Subject Item
Medicine
Product
Medical Application
Financial Application
Recommender System
Machine Learning
 
Description Researchers still believe that the information filtering system/ collaborating system is a recommender system or a recommendation system. It is used to predict the "rating" or "preference" of a user to an item.  In other words, both predict rating or preference for an item or product on a specific platform. The aim of the paper is to extend the areas of the recommender system/recommendation systems. The basic task of the recommender system mainly is to predict or analyze items/product. If it is possible to include more products in the system, then obviously the system may be extended for other areas also. For example, Medicine is a product and doctors filter the particular medicine for the particular disease. In the medical diagnosis doctors prescribed a medicine and it a product. It depends on the disease of the user/patient so here doctor predicts a medicine or product just like an item is recommended in a recommender system. The main objective of the paper is to extend the Recommender System/Recommendation system in other fields so that the research works can be extended Social Science, Bio-medical Science and many other areas.
 
Publisher Vandana Publications
 
Date 2020-10-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/608
10.31033/ijemr.10.5.9
 
Source International Journal of Engineering and Management Research; Vol. 10 No. 5 (2020): October Issue; 37-39
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/608/757
 
Rights Copyright (c) 2020 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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