Product Recommendation System using Machine Learning

Authors

  • Dhruv Parmar Student Dept. of Electronics and Communication Dept. of Electronics and Communication, Institute of Technology Institute of Technology Nirma University , Ahmedabad, Gujarat, India
  • Aanchal Tiwari Student Department of Electronics and Communication,Institute of Technology Institute of Technology Nirma University, Ahmedabad, Gujarat, India

DOI:

https://doi.org/10.37628/jvdt.v7i2.1665

Abstract

Users of today’s websites and applications expect personalized experiences. They expect applications, news websites, social media, and online businesses to know who they are and what they like, and to offer relevant, personalized, and precise recommendations for new products and items based on their past activity. Any application or service that fails to meet these expectations would see its users fleeing out of the digital door. This project will produce recommendations for products or items that a certain user might be interested in purchasing or engaging with. Machine learning algorithms and a variety of data about particular items and users will be used to accomplish this. This will make it easy for users to get accurate recommendations and thus save their time in searching for stuff.

References

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Published

2022-09-17

Issue

Vol. 7 No. 2 (2021)

Section

Articles