基于Longformer分类器的超党派新闻检测
Hyperpartisan News Detection with Longformer Classifier (2024-03-18, Jupyter Notebook, 0KB, 下载0次)
动漫中心是一个全面的动漫推荐系统，旨在帮助用户发现他们下一个最喜欢的动漫系列。利用先进的
Anime Hub is a comprehensive anime recommender system designed to help users discover their next favorite anime series. Leveraging advanced (2024-02-06, Jupyter Notebook, 0KB, 下载0次)
新闻推荐人
News Recommender (2023-12-06, Jupyter Notebook, 0KB, 下载0次)
新闻推荐人TicTechToe，，
News Recommender TicTechToe,, (2023-09-24, Jupyter Notebook, 0KB, 下载0次)
提交给科学进步（审查中）的论文代码——新闻推荐人支持自由主义者：算法偏差的因果框架，
Code for paper submitted to Science Advance (under review)---News Recommender Favors Liberals: A Causal Framework for Algorithmic Bias, (2023-09-04, Jupyter Notebook, 0KB, 下载0次)
介绍我们的尖端电影推荐系统：人工智能和娱乐的无缝融合。发现个性化的电影建议...，
Introducing our cutting-edge movie recommender system: a seamless blend of AI and entertainment. Discover personalized movie suggestions tailored to your unique preferences. Using advanced algorithms, it analyzes your viewing history and preferences, offering a curated selection of films that match your taste. (2023-08-16, Jupyter Notebook, 0KB, 下载0次)
开发以用户为中心的配方推荐系统的端到端项目，
End-to-end project to develop a user-focused recipe recommender system, (2023-08-10, Jupyter Notebook, 0KB, 下载0次)
下面的笔记本是用来总结vox新闻文章的。然后，推荐系统通过计算...，推荐相似的文章...，
The following notebook is for summarizing the vox news articles. Then the recommender system suggest similar articles by calculating the similarity score. (2022-08-08, Jupyter Notebook, 0KB, 下载0次)
使用基于BERT的技术的超党派新闻文章分类系统。目标是利用最先进的transformer模块...，
A hyperpartisan news article classification system using BERT-based techniques. The goal was to leverage state-of-the-art transformer models like BERT, ROBERTa, and Longformer to accurately classify news articles as hyperpartisan or non-hyperpartisan. (2023-07-01, Jupyter Notebook, 0KB, 下载0次)
datawhale 零基础入门推荐系统 - 新闻推荐
Dataworld zero foundation introduction recommendation system news recommendation (2020-12-06, Jupyter Notebook, 410KB, 下载0次)
Pak Citizen是一个用户定制的新闻门户，使用完整的CMS根据用户的兴趣推荐新闻。T...
Pak Citizen is a user customized news portal, recommending news according to interest of users with a complete CMS. Technology used: python, machine learning algorithms, HTML, CSS, PHP, SQL, FLASK. (2021-08-16, Jupyter Notebook, 20731KB, 下载0次)
一个使用Flask构建的python应用程序，根据新闻文章的类型和意义偏好推荐使用...
A python app built using Flask which recommends news articles to uses according to their preferences of genre and sentiments. It also makes use of page rank algorithm to display the article summary. (2018-03-31, Jupyter Notebook, 15KB, 下载0次)