摘要
一位新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于智能系统的新报告。根据来自中国重庆的新闻报道，NewsRx的记者说，“这项研究的目的是帮助用户了解他们喜欢的音乐，扩大艺术市场的受众。”新闻记者从艺术学院的研究中得到一句话：首先，基于深度学习推荐算法技术、人工智能技术和用户音乐播放软件，获得古典音乐个性化推荐数据。其次，对改进后的推荐算法进行了系统实验，并建立了经典音乐数据集，用于模型训练和用户测试。然后，通过典型的卷积神经网络模型，建立了经典音乐推荐算法的网络模型，找出了适合该模型的最优参数。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on intelligent s ystems. According to news reporting originating from Chongqing, People's Republi c of China, by NewsRx correspondents, research stated, "The purpose of the study is to help users know about their favorite music and expand art market audience s." The news correspondents obtained a quote from the research from School of Art: " First, the personalized recommendation data of classical music are obtained base d on the deep learning recommendation algorithm technology, artificial intellige nce, and music playback software of users. Second, a systematic experiment is co nducted on the improved recommendation algorithm, and a classical music dataset is established and used for model training and user testing. Then, the network m odel of the classical music recommendation algorithm is constructed through the typical convolutional neural network model, and the optimal parameters suitable for the model are found."
NETL
NSTL