An Intelligent Music Matching System that Utilizes Content Collaboration

Abstract

During an era characterized by digital material and informed consumers, music recommendation algorithms have emerged as essential tools, transforming the way individuals find and interact with music. The main objective of this approach is to tackle the widespread issue of information overload in extensive music collections. Due to the rapid expansion of digital music platforms, consumers often feel inundated by the vast number of songs accessible, which makes the effort of finding new and relevant music overwhelming. This concept seeks to address this problem by providing customized music recommendations that closely match users' interests, so enhancing the enjoyment and effectiveness of their music collection._x000D_ The motivation for this offer arises from the changing landscape of music consumption. Conventional methods of exploring music, such as radio broadcasts and physical record stores, have been replaced with algorithm-based suggestions that rely on user data. Although this change has greatly improved the accessibility of many types of music, it has also presented difficulties regarding the customization and relevance of suggestions. Therefore, the development of a sophisticated music recommendation system is not just a technological endeavor but also a reaction to the changing needs and opportunities of contemporary music enthusiasts. The primary focus of this design is to improve user pleasure and engagement by providing well-supported music suggestions. When trying to achieve these goals, there are various important factors to consider, such as the decisions made regarding algorithms, data structures, programming language, and the general approach used in system development. In this abstract, we will go into each of these elements, providing insight into the research methods and perspectives that have influenced the development of this music recommender system. The design of this methodology incorporates a hybrid approach, including