Long-term Product Rating Prediction Based on Users' Short-term Multiple Ratings

Abstract

Ratings and product reviews could be considered as one of the main features determining the quality of a product in online store systems, especially in deciding whether to place a product as part of an online store's inventory. online vendors are often attracted by product reviews and ratings. However, when the average product rating observed based on a small number of user ratings, the decision maker may not be certain about choosing that product, even if it has a fairly high rate. Long-term rating predictions would help online vendors to identify products and advertise their websites by choosing potential ones. In this paper machine learning approach utilizing linear regression model is used to predict long-term product rate. The model evaluated using the Datasheet of the Amazon Online Store website,1996 to 2014.

Keywords: Rating, Long-term Prediction, Machine Learning Algorithm, Linear Regression.

DOI: 10.7176/JIEA/9-4-04

Publication date:June 30^th 2019