Design And Implement Of Community Music Recommendation System Based On Collaborative Filtering

Nowadays,Internet is common and popular,with the price of PC become low enough to be used on a large scale in society and public service.Since the need of citizen's recreational activities increasing,it is necessary to deploy enough media equipment.While the hardware improved,the software should also match it.So the developing of community music recommendation system should match various requirements.Under this background,this paper develop a community music recommendation system based on collaboration filtering method.The main work including:(1)Analyzes and research the algorithm of recommendation system.It introduces the basic concepts and the development of the recommendation system at home and abroad.Introduces 4 main recommendation t echnologies,including the algorithm based on contents,the algorithm based on association rules,the hybrid algorithms and the algorithm based on collaboration filtering.And focus on the sorts and features of collaboration filtering algorithm.(2)Do a demand analysis about community music recommendation system.First,research the user characters of the community music recommendation system.Design the basic process flows,including user information management,collaboration filtering recommendation,music recognizing and searching,music playing record.According to the user characters and the process flow analysis,it chose the improved cosine collaboration filtering algorithm based on user.(3)Design the system frame using ODD method,and according to which,design 4 function modules,and design the database tables which can support the function.At last,design the UI and trial run the system.