Product selection from comparative question using cosine similarity analysis and weight feature analysis

Abstract: Comparing one product with another product when anyone want to purchase products is very typical decision making process. However it is not always easy to know what product compare and what are the alternatives are available so to address such difficulty we propose a novel way that can help user to get best product by calculating feature weight of respective products. The feature weight of product is calculated by using weight analysis. When any new product is added or any new user given rank then the table where total rank is going to calculate for every product and for every feature is updated as per weighted feature algorithm .On that basis when user gives query to application then it will check first is that is a comparable question or not by using cosine similarity analysis and show result the best from those products respectively.

Keywords: Data mining, compare, weight feature analysis, cosine similarity algorithm.