Film recommendation system.python KNN Collaborative filtering system and spark.系统详细介绍,请看电影推荐系统文档。
☆32Jun 27, 2018Updated 8 years ago
Alternatives and similar repositories for Film-recommendation-system
Users that are interested in Film-recommendation-system are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [Python, chinese comments] 电影推荐系统-数据挖掘思路☆19Dec 3, 2017Updated 8 years ago
- 电影评分推荐系统☆14Mar 19, 2015Updated 11 years ago
- word2vec实现的推荐系统☆11Jul 8, 2018Updated 8 years ago
- 根据豆瓣电影数据,做的一个推荐系统☆28Aug 13, 2017Updated 9 years ago
- 基于hadoop的电影推荐网站☆22Aug 4, 2017Updated 9 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 电影推荐打分系统,十折交叉验证☆15Jul 17, 2018Updated 8 years ago
- 基于python实现,通过协同过滤算法实现的一个简单的豆瓣电影推荐系统☆55Nov 17, 2020Updated 5 years ago
- 构建的简单电影推荐系统☆15Apr 8, 2019Updated 7 years ago
- Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF☆27Dec 27, 2018Updated 7 years ago
- 一个电影推荐系统☆872Mar 2, 2022Updated 4 years ago
- 分布式电影推荐系统☆12Dec 8, 2022Updated 3 years ago
- Hadoop案例之二度人脉与好友推荐☆16Dec 30, 2016Updated 9 years ago
- 豆瓣电影爬虫,Scrapy☆14Nov 9, 2020Updated 5 years ago
- An movie recommendation based on tf☆13Aug 3, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 本系统是基于物品(item-based)的系统过滤算法。协同过滤推荐技术被认为是推荐系统算法中应用最为成功的技术之一。它通常采用最近邻(K-Nearest-Neighbor, KNN)算法,利用用户的历史记录来计算用户之间的距离,然后利用目标用户的最近邻用户对物品评价来预测…☆14Dec 18, 2019Updated 6 years ago
- python011基于Python协同过滤算法的电影推荐系统带vue前后端分离毕业源码案例设计☆27Mar 22, 2024Updated 2 years ago
- 运用协同过滤算法实现的电影智能推荐APP☆14Jun 3, 2016Updated 10 years ago
- 基于机器学习与django的电影推荐系统☆27Feb 19, 2024Updated 2 years ago
- 一个简单的电影推荐系统☆230May 4, 2022Updated 4 years ago
- ☆19Oct 1, 2021Updated 5 years ago
- Udmey面试问题golang解法☆11Jun 14, 2019Updated 7 years ago
- Experiments on using ChatGPT for failure mode classification☆12Sep 20, 2023Updated 3 years ago
- 豆瓣电影爬虫 爬取top电影的评论 + 每个用户的看过的电影的评论 用于推荐系统的 协同过滤☆16Apr 14, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Quantifiable predictive features define epitope-specific T cell receptor repertoires☆13Dec 8, 2022Updated 3 years ago
- 基于受限玻尔兹曼机(RBM)的电影推荐系统☆15Aug 22, 2019Updated 7 years ago
- Spark实践:音 乐个性化推荐——基于ALS矩阵分解的协同过滤算法☆20Apr 15, 2019Updated 7 years ago
- 基于EventLoop和多线程的morden cpp 的linux网络库☆11Apr 5, 2020Updated 6 years ago
- Reproduction for "Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries"☆12Mar 26, 2021Updated 5 years ago
- Code for Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition [JBI]☆16Jan 28, 2022Updated 4 years ago
- 基于Spark的行为日志分析系统☆18Jun 21, 2022Updated 4 years ago
- 电影、视频、歌曲的推荐系统项目☆10Aug 9, 2018Updated 8 years ago
- 基于用户画像的电影推荐系统(重庆大学软酷实训)☆13Jun 22, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 推荐系统论文☆23Oct 9, 2019Updated 7 years ago
- Pytorch Code for---Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality.☆16Oct 13, 2025Updated last year
- Keras Implementation of "Deep Matrix Factorization Models for Recommender Systems"☆18Dec 2, 2020Updated 5 years ago
- A twitter sentiment classifier based on KNN and SVM algorithms☆26Jun 30, 2015Updated 11 years ago
- MIT 6.857 Group Project☆10May 30, 2019Updated 7 years ago
- bert for chinese text classification☆10Dec 11, 2018Updated 7 years ago
- 中药自动组方相关程序☆13Mar 19, 2023Updated 3 years ago