Research on Hybrid Recommendation Algorithm of Mother and Child Information Based on Tagging System

Abstract

The development of mobile news and information makes the access to information resources more convenient, however, the network of Shanghai's information also brings some trouble to users to read valuable information efficiently. Taking the mother and baby information project on the home page of MeetYou APP as an example, by marking the information information and dynamically marking the 50 million users in the APP. Using the recommendation algorithm based on weight, location and collaborative filtering, combined with the calculation of inverse word frequency and cosine similarity between tags, a hybrid tagging recommendation algorithm is proposed. Tested in a practical project, the algorithm can effectively improve the efficiency of personalized recommendation and provide reference value for optimizing the information content recommendation system.