本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，�
active 2023-08-17 → 2026-06-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1021 days from 2023-08-17 to 2026-06-02. Pushes: 1 total, peak 1 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 16 total, peak 3 in a day. Comments: 34 total, peak 6 in a day. Stars: 476 total, peak 5 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| HuQi2018 | 22 | 1 | 0 | 14 |
| XiAoRayL | 10 | 0 | 0 | 8 |
| zhyoulove | 6 | 0 | 0 | 5 |
| Okakura-Tenshin | 4 | 0 | 0 | 3 |
| studyKQ | 3 | 0 | 0 | 2 |
| 921l | 2 | 0 | 0 | 1 |
| CGW516 | 1 | 0 | 1 | 0 |
| Eleven-de | 1 | 0 | 0 | 0 |
| hahaawang | 1 | 0 | 0 | 0 |
| 1106683274 | 1 | 0 | 0 | 1 |
| rookiedown | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#38CGW5162026-04-26 09:42
- Issue comment#37921l2025-05-21 16:46用户相似度推荐问题
- Issue comment#37HuQi20182025-05-15 05:15用户相似度推荐问题
- Issue#37921l2025-05-13 03:33用户相似度推荐问题
- Issue comment#36HuQi20182025-04-03 09:14离线推荐脚本运行咨询
- Issue comment#36XiAoRayL2025-04-03 07:55离线推荐脚本运行咨询
- Issue comment#36zhyoulove2025-04-03 06:19离线推荐脚本运行咨询
- Issue comment#36zhyoulove2025-04-03 06:13离线推荐脚本运行咨询
- Issue comment#36zhyoulove2025-04-03 06:11离线推荐脚本运行咨询
- Issue comment#36XiAoRayL2025-04-01 13:53离线推荐脚本运行咨询
- Issue comment#35XiAoRayL2025-04-01 13:49离线推荐系统相关问题
- Issue comment#35zhyoulove2025-03-31 09:56离线推荐系统相关问题
- Issue comment#35XiAoRayL2025-03-14 01:20离线推荐系统相关问题
- Issue comment#35HuQi20182025-03-13 07:46离线推荐系统相关问题
- Issue comment#35XiAoRayL2025-03-13 07:33离线推荐系统相关问题
- Issue comment#35HuQi20182025-03-13 07:21离线推荐系统相关问题
- Issue comment#35XiAoRayL2025-03-12 08:19离线推荐系统相关问题
- Issue comment#35HuQi20182025-03-12 02:47离线推荐系统相关问题
- Issue comment#35XiAoRayL2025-03-11 06:08离线推荐系统相关问题
- Issue#35XiAoRayL2025-03-11 05:30离线推荐系统相关问题
- Issue#33HuQi20182025-03-09 14:03为什么要在win上再部署一次hadoop和sprak
- Issue#34HuQi20182025-03-09 13:49hadoop配置
- Issue comment#34XiAoRayL2025-03-07 01:21hadoop配置
- Issue comment#34HuQi20182025-03-06 05:45hadoop配置
- Issue comment#34HuQi20182025-03-06 05:44hadoop配置
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 476 stars here means stars gained during the window, not the repo's star count.