Weighted product Taxonomy for Mobile-Commerce site in Recommendation of Product based on Heuristic Approach

Abstract

As we know number of smart phone users grows rapidly and Indian government survey said that there are 10+ billion smart phone users by 2020. We know that in metro cities people does not have time to purchase products of their daily needs. For this reason Online shopping using mobile phone is now in trend and survey also says that number of online shopping users grows exponentially. There are various types of factor plays important role in recommendation of product to customer. Product taxonomy, Customer behavioral and navigational factor are among them which are analyzed in this paper. Importance of weighted product taxonomy in fast recommendation of product is highlighted in this paper by authors. Authors proposed a greedy heuristic algorithm to search product in weighted product taxonomy. To proof the efficiency of proposed algorithm they use one tail independent sample‘t’ test with 5% level of significance and found that results are significant.