Design And Implementation Of Audio Broadcast Search Recommend System

With the continuous development of Internet technology and deepening into all aspects of people's lives,information from all walks of life is constantly increasing,and people have entered the era of the information explosion.For the audio field,how to quickly and efficiently search for the content you want from a large number of resources in the audio field has become an urgent problem for enterprises in the audio field to solve.Although some general search recommendation technologies already exist,the amount of information retrieved by these search recommendation technologies is still very large.It still requires users to filter the information they want from the search results,and it has not achieved the user's actual retrieval purpose.And for the special expression in the audio field,it cannot be retrieved accurately.Therefore,enterprises urgently need a search recommendation system for the audio field to meet users' needs for audio information.This paper implements an audio broadcast search recommendation system,which aims to enable users to retrieve the resources they want more quickly and accurately,and this system provides personalized recommendation functions with multiple strategies to enhance the user experience.The system is designed based on the microservice architecture and developed using the SSM framework.The database uses My SQL and uses Redis for caching.The ElasticSearch search engine is used to provide search services for the system,and on this basis,query error correction,associative word prompts,word segmentation,and classified search models are added to provide a more complete search service for the system.In addition,the system's new word discovery service indirectly improves the accuracy of the search by improving the word segmentation effect.The system recommendation module uses a recommendation algorithm based on Naive Bayes,which can recommend audios that may be of interest to users with different attributes.The system mainly includes seven modules,login registration,audio search,new word discovery,audio recommendation,background management,playback management,and personal information management,The thesis will elaborate on each module from the aspects of requirements analysis,summary design,detailed design and implementation,and system testing.In the entire development process of the project,I mainly participated in requirements analysis,system design,background code writing and later testing.Each functional module of the system is an independent service module,thus ensuring the system's reusability,ease of maintenance and scalability.At present,the system has been successfully launched and put into use,and each functional module of the system can operate normally and meet the needs of most users.