Application of Collaborative Filtering Recommendation Algorithm in pharmacy system

Abstract

Recommendation algorithm has been widely used in Internet commerce. At present, the most widely used and successful algorithm is collaborative recommendation algorithm. It can be used in pharmacy marketing system based on user and project purpose. Based on the analysis of the current situation of retail drugstores, this paper constructs the marketing management system of retail drugstores, and establishes two recommendation models of the marketing system of retail drugstores and retail drugstores. The main goal of model 1 is to construct a user based collaborative filtering recommendation algorithm input, after the algorithm processing, to generate recommendation results, to achieve product recommendation to customers. The goal of model 2 is to construct a Project-based Collaborative filtering recommendation algorithm input, after the algorithm processing, produce the recommendation results, so as to find the target customers for the product. These two recommendation models are helpful to the research and improvement of pharmacy system algorithm.