Ranking and suggestion by identifying popular items projects main idea is to implement a new method for providing users with most popular searched products and suggest users with related products.

This system will consider search queries and feedback that appears in applications such as social tagging. Based on this results system will calculate and suggest to users by gathering all available possibilities.

In this method, there are few problems where the single product will be more popular by leaving other products less popular and which will not appear to users. 

In this paper, we provide analysis of this problem.

Ranking and suggestion by identifying popular items projects reference documents.