Improving Product Sales on E-Commerce Websites Based on Reviewers Opinions

Authors

  • S. Kayalvili  M.E, Associate Professor (Sr. Gr), Department of CSE, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India
  • Muthu Priyadharshini. A  PG Scholar, Department of CSE, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India

DOI:

https://doi.org//10.32628/IJSRST207366

Keywords:

Online reviews, Early reviewers, K-means with pageRank

Abstract

Online reviews are the important source of information for users before selecting a product for making a decision. Reviews of product particularly early reviews have impact on the product sales. Study the behavior characteristics of early reviewers through their posted early reviews. At first divide the product lifetime into three stages- Early, majority and laggards. A person who posts reviews in early stage is considered as early reviewers. The Early reviewers are the first one who responds to the product at the beginning stage. Rating behaviors of early reviewers are predicted based on k-means with Page Rank.

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International Journal of Scientific Research in Science and Technology

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Published

2020-06-30

Issue

Volume 7, Issue 3, May-June-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. Kayalvili, Muthu Priyadharshini. A, " Improving Product Sales on E-Commerce Websites Based on Reviewers Opinions, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 3, pp.361-366, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRST207366