一个智能Spotify辅助和推荐系统

Keshav Allawadi, Charvi Vij
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引用次数: 0

摘要

这个项目将被用来发现Spotify用户和他搜索的歌曲之间的相关性。根据发现的关系,系统会相应地推荐歌曲。该项目还包括多个功能,以帮助用户并提供更好的整体体验。该项目将使用python的Spotify库以及为开发人员构建的SpotifyWEB API构建。它还使用了一些库,如Numpy、Pandas和OS等。要访问歌曲/专辑,我们将使用“通用资源标识符”,这是一个特殊的六位数唯一代码。推荐系统的目标是根据音乐领域的特定用户相关需求进行调整。本文的主要重点是通过最新的技术和框架来创建一个动态系统,以帮助那些喜欢听音乐娱乐的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Spotify Assistance and Recommendation System
This project will be used to discover correlation between the Spotify user and the respective song searched by him. Based on the found relations, this system will recommend songs accordingly. This Project also consist of multiple features to assist user and provide a better experience overall. This project will be build using Spotify library for python along with SpotifyWEB API built for developers. It also uses few more libraries like Numpy, Pandas, and OS etc. To access the songs/albums we will be using ‘‘Universal Resource Identifier’’ which is a special six-digit unique code. The recommender system’s objective is to adjust to the particular user-related requirements of the music sector.He primary emphasis of this paper is the creation of a dynamic system just to assist people who love to listen music for entertainment through the recent technologies and frameworks.
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