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

Authors

  • Shawni Dutta Lecturer, Department of Computer Science, The Bhawanipur Education Society College, Kolkata, INDIA
  • Prof. Samir Kumar Bandyopadhyay Academic Advisor, The Bhawanipur Education Society College, Kolkata, INDIA

DOI:

https://doi.org/10.31033/ijemr.10.5.9

Keywords:

Item, Medicine, Product, Medical Application, Financial Application, Recommender System, Machine Learning

Abstract

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.

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Published

2020-10-31

How to Cite

Shawni Dutta, & Prof. Samir Kumar Bandyopadhyay. (2020). A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Recommendation System into Social Life. International Journal of Engineering and Management Research, 10(5), 37–39. https://doi.org/10.31033/ijemr.10.5.9