该项目的目标是通过致电《纽约时报》、企鹅和Spotify，为音乐和播客构建一个基于内容的推荐系统...
The goal for this project is to build a content-based recommender system to recommend songs for Spotify users based on their podcasts and news watching history, by calling NYTimes, Penguin, and Spotify APIs to collect user engagement data and utilize NLP and Machine Learning techniques to provide personalized recommendations.By applying Word2Vec (2023-11-03, Jupyter Notebook, 0KB, 下载0次)
基于抓取的苹果播客数据+用户偏好，实现播客推荐系统，
implementing a recommender system for podcasts based on scraped apple podcasts data + user preferences, (2023-08-15, Jupyter Notebook, 0KB, 下载0次)