A Framework for Ranking Products Using Ranked Voting Method

Consumer's reviews provided with the product descriptions play a great role in the popularity of E-commerce Web sites. In order to gain confidence in the products a large number of On-line customers spend a lot of time in analyzing different textual reviews. However, there are various products, which have thousands of user's generated reviews. Mining this enormous online reviews and tuning these abundant individual consumers view into collective consumer's choice became a challenging task. These collective reviews aid in product improvement processes, ranking of various products, and many other such operations. To solve this problem, we are proposing a ranking mechanism which can be efficiently used to rank different products in accordance to their reviews rating. Here, the ranking mechanism uses the numerous ratings of a review and calculates the aggregate score of the product. This paper demonstrates that the ranking of various products by means of their reviews rating through rank voting method. Both the practicability and the benefits of the suggested approach are illustrated through an example.