Recommender System in E-Commerce : Bringing Revolution in Marine Product Industry

Authors

  •   Subhabaha Pal Senior Faculty, Manipal Academy of Higher Education – South Bangalore Campus (Manipal ProLearn – Data Science), Manipal ProLearn, 3rd Floor, Salarpuria Symphony, 7, Service Road, Pragathi Nagar, Electronic City, Bangalore, Karnataka - 560100
  •   Satyabrata Pal 101/B Bakul Bagan Road, Kolkata - 700025, West Bengal

DOI:

https://doi.org/10.17010/ijcs/2018/v3/i5/138776

Keywords:

Collaborative-Filtering

, Content-Based Filtering, e-Commerce, Recommender System

Manuscript received July 5

, 2018, revised July 25, accepted July 27, 2018. Date of publication September 6, 2018

Abstract

E-commerce business world is evolving at a fast pace and to remain relevant in the business, the ecommerce world started introducing new tools for enhancing customer experience. Recommender System is one such tool. This paper discusses how Recommender system works and major types of Recommender systems which are currently in use. This paper also discusses some applications of the Recommender system in the marine product industry.

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Published

2018-10-01

How to Cite

Pal, S., & Pal, S. (2018). Recommender System in E-Commerce : Bringing Revolution in Marine Product Industry. Indian Journal of Computer Science, 3(5), 7–13. https://doi.org/10.17010/ijcs/2018/v3/i5/138776

Issue

Volume 3, Issue 5, September-October 2018

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

References

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https://www.amazon.in/

https://www.bigbasket.com/

https://www.licious.in/

https://www.dailyfish.in/

https://order.gofish.farm/