Open AccessImproving Product Sales on E-Commerce Websites Based on Reviewers Opinions
Author(s) -
S. Kayalvili,
Muthu Priyadharshini. A
Publication year - 2020
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst207366
Subject(s) - product (mathematics) , e commerce , advertising , marketing , rank (graph theory) , business , new product development , computer science , world wide web , geometry , mathematics , combinatorics
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.