DESIGN OF RECOMMENDER SYSTEM BASED ON CUSTOMER REVIEWS

S.Vaishnavi, S.Karthik

Abstract: Recommendations play a significant role in every human life. People choose their ideas based on other’s recommendations since they trust the recommendations more. For giving recommendations there emerged a system called Recommender system. Recommender systems play a important role in E-Marketing. Many companies adopt recommender systems to increase in their sales in the market. They can establish their products such that they can attract more customers by giving offers. Many ranking approaches have emerged to rank the top product recommendation to give to user. Ratings calculated can be an explicit or impliocit rating. Popular sites are Amazon.com, Netflix.com, and Movielens.com etc. These sites help the customers to find relevant product to their interest. They play as a place where customers can find all kinds of items. They do so because recommendations given by other customers have been published after they have used the product. Those customers will have experience about the product. From the customers their view of how is the product usage has been collected. This is used in recommendations. In the Proposed system, customer’s views are used for recommendations. While new customer search products, old users views are published for the particular product. On getting the customer views, one user can trust it since common people have more confidence on words-of other people. Based on product, users are given form to fill their views.On getting views, Ratings are calculated from it. These kind of recommender system give useful recommendations since we collect views of people who are familiar with the item or product.

Keywords: Recommender system, E-Commerce, collaborative filtering, Customer reviews

DOI: https://doi.org/10.15623/ijret.2013.0211062