Dept. of Information Systems, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
1. Lecturer, Dept. of CSE, Asian University of Bangladesh.
Emails: kasturi@um.edu.my | sjsquaderi11@gmail.com

DOI:

Link:

The online platform is becoming popular with people for the most convenient product buying option, and therefore thousands of reviews are frequently being posted on e-commerce sites. The User-Generated Review (UGR) from online platforms plays an important role in customer’s decisionmaking procedures for product buying. This UGR can accelerate the customers shopping experience if the reviews are considered helpful. From a user perspective, a review is identified as a helpful one if it is having informative content with adequate length, precisely subjective oriented, and easily readable to users. In the online platform, to expose a product’s overview and user experience on that product, a non-biased review can be effective for customers, though the comment could be positive or negative. The e-commerce sites advertise their products virtually, so valid information of the product is very important for the ordinary customer for product buying. In online shopping, a suitable product buying is absolutely depending on the reviews' helpfulness; in fact, a good review can ensure the reliability of buying a suitable product. The helpful reviews are undoubtedly conducted by authenticated reviewers, compiling with spam-free, factual information with truthful experiences and non-biased. By observing these facts, this research emphasizes on analyzing the issues and challenges for identifying the helpful reviews.